Performance Index
Intel® Core™ Processors (Series 2)
| Series | Use Case | Claim | Processor | Systems Measured | Measurement | Measurement Period |
|---|---|---|---|---|---|---|
| 200 | XYZ Robotics: Computation time for single robotic pick and place motion planning (average) | Compute times improved by roughly 1.5x per task | Intel® Core™ 9 processor 273PE | System 1: Intel® Core™ 9 processor 273PE 32G DDR5 5600 Ubuntu 20.04 System 2: Intel Core i9 14900K 32G DDR5 5600 Ubuntu 20.04 | System 1: 0.26s System 2: 0.39s | As of Feb 2026 |
| 200 | XYZ Robotics: Computation time for single robotic pick and place task planning (average) | Single operation latency improved ~1.47x | Intel® Core™ 9 processor 273PE | System 1: Intel® Core™ 9 processor 273PE 32G DDR5 5600 Ubuntu 20.04 System 2: Intel Core i9 14900K 32G DDR5 5600 Ubuntu 20.04 | System 1: 0.171s System 2: 0.252s | As of Feb 2026 |
| 200 | XYZ Robotics: Reliability of robotic pick and place | Reliability improved in lockstep: module failures were ~9.6x fewer, and single operation "worse than threshold" slowdowns were ~11x fewer. | Intel® Core™ 9 processor 273PE | System 1: Intel® Core™ 9 processor 273PE 32G DDR5 5600 Ubuntu 20.04 System 2: Intel Core i9 14900K 32G DDR5 5600 Ubuntu 20.04 | System 1: mf_fail_times = 5 pp_fail_times = 0 timeout_times = 0 mp_single_worse_times = 9 System 2: mf_fail_times = 48 pp_fail_times = 26 timeout_times = 2 mp_single_worse_times = 100 | As of Feb 2026 |
| 200 | Codesys: Virtualization of industrial control workloads | Achieving roughly a 1.67x increase in virtual PLC density over the previous generation | Intel® Core™ 9 processor 273PE | System 1: Intel® Core™ 9 processor 273PE 64G DDR5 5600 System 2: Intel Core i7 13700 64G DDR5 5600 | System 1: 10 System 2: 6 | As of Feb 2026 |
| 200 | Saimos: Video analytics | It delivered about 1.6x better thread‑per‑channel efficiency than prior gen. | Intel® Core™ 9 processor 273PE | System 1: Intel® Core™ 9 processor 273PE 32G DDR5 5600 Ubuntu 24.04 Inference engine & version: OpenVINO 2025.3 System 2: Intel Core i7 14700 32G DDR5 5600 Windows 11 IoT Inference engine & version: OpenVINO 2025.3 | System 1: average 1.83 threads / channel System 2: average 3.14 threads / channel | As of Feb 2026 |
| 200 | Saimos: Video analytics (shopping mall overview camera with 50 - 70 constant object tracks) | In the busiest and most demanding scenes, we saw up to 2.3X improvement in how efficiently it used processing threads. | Intel® Core™ 9 processor 273PE | System 1: Intel® Core™ 9 processor 273PE 32G DDR5 5600 Ubuntu 24.04 Inference engine & version: OpenVINO 2025.3 System 2: Intel Core i7 14700 32G DDR5 5600 Windows 11 IoT Inference engine & version: OpenVINO 2025.3 | System 1: 3 threads / channel System 2: 7 threads / channel | As of Feb 2026 |
| 200 | Neurocle: Computer vision defect detection | Delivered an average of 1.4x reduction in inference latency across vision inspection models generated by Neurocle's Auto Deep Learning technology | Intel® Core™ 9 processor 273PE | System 1: Intel® Core™ 9 processor 273PE 32G DDR5 5600 Inference engine & version: OpenVINO 2025.4 System 2: Intel Core i7 14700 64BG Inference engine & version: OpenVINO 2025.4 | System 1: 11.54ms System 2: 16.6ms | As of Feb 2026 |
| 200 | Neurocle: Computer vision defect detection | Delivered up to 2.2x reduction in inference latency across vision inspection models generated by Neurocle's Auto Deep Learning technology | Intel® Core™ 9 processor 273PE | System 1: Intel® Core™ 9 processor 273PE 32G DDR5 5600 Inference engine & version: OpenVINO 2025.4 System 2: Intel Core i7 14700 64BG Inference engine & version: OpenVINO 2025.4 | System 1: 1.73ms System 2: 3.81ms | As of Feb 2026 |
| 200 | CPU Real Time Performance | The Intel® CoreTM 9 processor 273PE delivers up to 2.5X more deterministic response time compared to AMD RyzenTM 7 9700X | Intel® CoreTM 9 processor 273PE | System 1: Processor: Intel Core 9 273PE; Test Date: 46054; System: CRB; Cores/Threads: 8P / 16T; L3 Cache: 36 MB; TDP: 65W; Turbo Boost: Disabled; Base Frequency: 2.3 GHz, Run with Speed Shift to 3.3 GHz; Maximum Frequency: 5.7 GHz; Memory: 32GB (2x16GB DDR5 4800MT/s [4800MT/s]); Storage: 1x 931.5G Samsung SSD 990 EVO Plus 1TB; OS : Ubuntu 24.04.3 LTS; BIOS: RPLISFI1.R00.6073.A02.2504241642; Microcode: 0x5; Kernel: 0x1; Power Plan: Performance System 2: Processor: AMD Ryzen 7 9700X 8-Core Processor; Test Date: 46054; System: ASUSTeK COMPUTER INC. TUF GAMING B650-PLUS WIFI, Rev 1.xx; Cores/Threads: 8C / 16T; L3 Cache: 32 MB; TDP: 65W; Turbo Boost: Disabled; Base Frequency: 3.8 GHz; Maximum Frequency: 5.5 GHz; Memory: 32GB (2x16GB DDR5 4800MT/s [5600MT/s]); Storage: 1x 931.5G Samsung SSD 990 EVO Plus 1TB; OS : Ubuntu 24.04.3 LTS; BIOS: 3602; Microcode: ; Kernel: 0xb404034; Power Plan: Performance | As measured by: Cyclictest from public rt-test suite, v2.5, difference between min and max RTT | Feb-26 |
| 200 | CPU Real Time Performance | The Intel® CoreTM 9 processor 273PE delivers up to 3.8X better deterministic performance compared to AMD RyzenTM 7 9700X | Intel® CoreTM 9 processor 273PE | System 1: Processor: Intel Core 9 273PE; Test Date: 46054; System: CRB; Cores/Threads: 8P / 16T; L3 Cache: 36 MB; TDP: 65W; Turbo Boost: Disabled; Base Frequency: 2.3 GHz, Run with Speed Shift to 3.3 GHz; Maximum Frequency: 5.7 GHz; Memory: 32GB (2x16GB DDR5 4800MT/s [4800MT/s]); Storage: 1x 931.5G Samsung SSD 990 EVO Plus 1TB; OS : Ubuntu 24.04.3 LTS; BIOS: RPLISFI1.R00.6073.A02.2504241642; Microcode: 0x5; Kernel: 0x1; Power Plan: Performance System 2: Processor: AMD Ryzen 7 9700X 8-Core Processor; Test Date: 46054; System: ASUSTeK COMPUTER INC. TUF GAMING B650-PLUS WIFI, Rev 1.xx; Cores/Threads: 8C / 16T; L3 Cache: 32 MB; TDP: 65W; Turbo Boost: Disabled; Base Frequency: 3.8 GHz; Maximum Frequency: 5.5 GHz; Memory: 32GB (2x16GB DDR5 4800MT/s [5600MT/s]); Storage: 1x 931.5G Samsung SSD 990 EVO Plus 1TB; OS : Ubuntu 24.04.3 LTS; BIOS: 3602; Microcode: ; Kernel: 0xb404034; Power Plan: Performance | As measured by: RTC-Testbench from https://github.com/Linutronix/RTC-Testbench, max latency value | Feb-26 |
| 200 | CPU Real Time Performance | The Intel® CoreTM 9 processor 273PE delivers up to 4.4X lower max PCIe latency compared to AMD RyzenTM 7 9700X | Intel® CoreTM 9 processor 273PE | System 1: Processor: Intel Core 9 273PE; Test Date: 46054; System: CRB; Cores/Threads: 8P / 16T; L3 Cache: 36 MB; TDP: 65W; Turbo Boost: Disabled; Base Frequency: 2.3 GHz, Run with Speed Shift to 3.3 GHz; Maximum Frequency: 5.7 GHz; Memory: 32GB (2x16GB DDR5 4800MT/s [4800MT/s]); Storage: 1x 931.5G Samsung SSD 990 EVO Plus 1TB; OS : Ubuntu 24.04.3 LTS; BIOS: RPLISFI1.R00.6073.A02.2504241642; Microcode: 0x5; Kernel: 0x1; Power Plan: Performance System 2: Processor: AMD Ryzen 7 9700X 8-Core Processor; Test Date: 46054; System: ASUSTeK COMPUTER INC. TUF GAMING B650-PLUS WIFI, Rev 1.xx; Cores/Threads: 8C / 16T; L3 Cache: 32 MB; TDP: 65W; Turbo Boost: Disabled; Base Frequency: 3.8 GHz; Maximum Frequency: 5.5 GHz; Memory: 32GB (2x16GB DDR5 4800MT/s [5600MT/s]); Storage: 1x 931.5G Samsung SSD 990 EVO Plus 1TB; OS : Ubuntu 24.04.3 LTS; BIOS: 3602; Microcode: ; Kernel: 0xb404034; Power Plan: Performance | As measured by: PCIe read latency, max latency value | Feb-26 |
| 200 | CPU Performance | The Intel® CoreTM 9 processor 273PQE delivers up to 1.5x higher multi-thread performance compared to Intel® Core i9-14901E | Intel® CoreTM 9 processor 273PQE | System 1: Processor: Intel Core 9 273PQE; Test Date: 45931; System: Intel Corporation Alder Lake Client Platform; Cores/Threads: 12; L3 Cache: 36 MiB; TDP: 65W; Turbo Boost: Enabled; Base Frequency: 4.0 GHz; Maximum Frequency: 5.9GHz; Memory: 32GB (2x16GB DDR5 4800MT/s [4800MT/s]); Storage: 1x 232.9G WD_BLACK SN770 250GB; OS : Ubuntu 24.04.3 LTS; BIOS: RPLISFI1.R00.6311.A02.2509160905; Microcode: 0x131; Kernel: 6.16.6-061606-generic; Power Plan: PowerSave System 2: Processor: Intel Core i9 14901E; Test Date: 46048; System: CRB; Cores/Threads: 8; L3 Cache: 36 MB; TDP: 65W; Turbo Boost: Enabled; Base Frequency: 2.8 GHz (P-core); Maximum Frequency: 5.6 GHz; Memory: 2x32GB DDR5-5600; Storage: 424 GB NVMe SSD; OS : Yocto-based Linux; BIOS: RPLISFI1.R00.6311.A62.2512010336; Microcode: 0x130; Kernel: Kernel: 6.12.61-intel-ese-standard-lts #1 SMP PREEMPT_DYNAMIC; Power Plan: PowerSave | As estimated by SPECrate®2017_int_base (n copy) performance estimates. SPEC®, SPECrate® and SPEC CPU® are registered trademarks of the Standard Performance Evaluation Corporation. See http://www.spec.org/spec/trademarks.html for more information. | Dec 2025 to Jan 2026 |
| 200 | CPU Performance | The Intel® CoreTM 9 processor 273PE delivers up to 1.3x higher multi-thread performance compared to Intel® Core i9-14901E | Intel® CoreTM 9 processor 273PQE | System 1: Processor: Intel Core 9 273PQE; Test Date: 45931; System: Intel Corporation Alder Lake Client Platform; Cores/Threads: 12/24; L3 Cache: 36 MiB; TDP: 65W; Turbo Boost: Enabled; Base Frequency: 4.0 GHz; Maximum Frequency: 5.9GHz; Memory: 32GB (2x16GB DDR5 4800MT/s [4800MT/s]); Storage: 1x 232.9G WD_BLACK SN770 250GB; OS : Ubuntu 24.04.3 LTS; BIOS: RPLISFI1.R00.6311.A02.2509160905; Microcode: 0x131; Kernel: 6.16.6-061606-generic; Power Plan: PowerSave System 2: Processor: Intel Core i9 14901E; Test Date: 46048; System: CRB; Cores/Threads: 8 / 16; L3 Cache: 36 MB; TDP: 65W; Turbo Boost: Enabled; Base Frequency: 2.8 GHz (P-core); Maximum Frequency: 5.6 GHz; Memory: 2x32GB DDR5-5600; Storage: 424 GB NVMe SSD; OS : Yocto-based Linux; BIOS: RPLISFI1.R00.6311.A62.2512010336; Microcode: 0x130; Kernel: Kernel: 6.12.61-intel-ese-standard-lts #1 SMP PREEMPT_DYNAMIC; Power Plan: PowerSave | As estimated by SPECrate®2017_int_base (n copy) performance estimates. SPEC®, SPECrate® and SPEC CPU® are registered trademarks of the Standard Performance Evaluation Corporation. See http://www.spec.org/spec/trademarks.html for more information. | Dec 2025 to Jan 2026 |
| 200 | AI inference latency (Neurocle) | Intel® Core™ 9 processor 273PE delivers an average of 1.4x reduction in inference latency compared to Intel® Core™ i7 processor 14700 | Intel® Core™ 9 processor 273PE | System 1: Processor: Intel Core 9 273PE AI accelerator: CPU Memory: 32GB Infernce engine and version: OpenVINO 2025.4.0 System 2: Processor: Intel® Core™ i7 processor 14700 AI accelerator: CPU Memory: 64GB Infernce engine and version: OpenVINO 2025.4.0 | As measured by: 6 Neurocle proprietary AI model tests For each model, the same set of images was used consistently across all devices and test environments. The input image resolution was fixed at 512 × 512 for all experiments. All models were generated using Neuro-T, Neurocle's training software, and include a variety of model architectures and hyperparameter configurations. Inference was performed using Neuro-R, Neurocle's runtime library, across multiple hardware platforms. All results were measured in terms of inference latency, reported in milliseconds (ms). | February 2026 |
| 200 | AI inference latency (Neurocle) | Intel® Core™ 9 processor 273PE delivers up to 2.2x reduction in inference latency compared to Intel® Core™ i7 processor 14700 | Intel® Core™ 9 processor 273PE | System 1: Processor: Intel Core 9 273PE AI accelerator: CPU Memory: 32GB Infernce engine and version: OpenVINO 2025.4.0 System 2: Processor: Intel® Core™ i7 processor 14700 AI accelerator: CPU Memory: 64GB Infernce engine and version: OpenVINO 2025.4.0 | As measured by: Neurocle proprietary AI model 1 test For each model, the same set of images was used consistently across all devices and test environments. The input image resolution was fixed at 512 × 512 for all experiments. All models were generated using Neuro-T, Neurocle's training software, and include a variety of model architectures and hyperparameter configurations. Inference was performed using Neuro-R, Neurocle's runtime library, across multiple hardware platforms. All results were measured in terms of inference latency, reported in milliseconds (ms). | February 2026 |
| 200 | AI inference performance per watt (Neurocle) | Intel® Core™ 9 processor 273PE delivers up to 2.2x better AI inference performance per watt than Intel® Core™ i7 processor 14700 | Intel® Core™ 9 processor 273PE | System 1: Processor: Intel Core 9 273PE AI accelerator: CPU Memory: 32GB Infernce engine and version: OpenVINO 2025.4.0 Base power: 65W MSRP: $549 System 2: Processor: Intel® Core™ i7 processor 14700 AI accelerator: CPU Memory: 64GB Infernce engine and version: OpenVINO 2025.4.0 Base power: 65W MSRP: $384 | As measured by: AI inference performance per watt based on Neurocle proprietary AI model 1 test For each model, the same set of images was used consistently across all devices and test environments. The input image resolution was fixed at 512 × 512 for all experiments. All models were generated using Neuro-T, Neurocle's training software, and include a variety of model architectures and hyperparameter configurations. Inference was performed using Neuro-R, Neurocle's runtime library, across multiple hardware platforms. All results were measured in terms of inference latency, reported in milliseconds (ms). | February 2026 |
| 200 | AI inference performance per dollar (Neurocle) | Intel® Core™ 9 processor 273PE delivers up to 1.54x better AI inference performance per dollar than Intel® Core™ i7 processor 14700 | Intel® Core™ 9 processor 273PE | System 1: Processor: Intel Core 9 273PE AI accelerator: CPU Memory: 32GB Infernce engine and version: OpenVINO 2025.4.0 Base power: 65W MSRP: $549 System 2: Processor: Intel® Core™ i7 processor 14700 AI accelerator: CPU Memory: 64GB Infernce engine and version: OpenVINO 2025.4.0 Base power: 65W MSRP: $384 | As measured by: AI inference performance per dollar based on Neurocle proprietary AI model 1 test For each model, the same set of images was used consistently across all devices and test environments. The input image resolution was fixed at 512 × 512 for all experiments. All models were generated using Neuro-T, Neurocle's training software, and include a variety of model architectures and hyperparameter configurations. Inference was performed using Neuro-R, Neurocle's runtime library, across multiple hardware platforms. All results were measured in terms of inference latency, reported in milliseconds (ms). | February 2026 |
| 200 | AI inference performance per watt per dollar (Neurocle) | Intel® Core™ 9 processor 273PE delivers up to 1.54x better AI inference performance per watt per dollar than Intel® Core™ i7 processor 14700 | Intel® Core™ 9 processor 273PE | System 1: Processor: Intel Core 9 273PE AI accelerator: CPU Memory: 32GB Infernce engine and version: OpenVINO 2025.4.0 Base power: 65W MSRP: $549 System 2: Processor: Intel® Core™ i7 processor 14700 AI accelerator: CPU Memory: 64GB Infernce engine and version: OpenVINO 2025.4.0 Base power: 65W MSRP: $384 | As measured by: AI inference performance per watt per dollar based on Neurocle proprietary AI model 1 test For each model, the same set of images was used consistently across all devices and test environments. The input image resolution was fixed at 512 × 512 for all experiments. All models were generated using Neuro-T, Neurocle's training software, and include a variety of model architectures and hyperparameter configurations. Inference was performed using Neuro-R, Neurocle's runtime library, across multiple hardware platforms. All results were measured in terms of inference latency, reported in milliseconds (ms). | February 2026 |
| 200 | Thread‑per‑channel efficiency (Saimos) | Intel® Core™ 9 processor 273PE delivered about 1.6X better thread‑per‑channel efficiency than prior gen. In the busiest and most demanding scenes, we saw up to 2.3X improvement in how efficiently it used processing threads. | Intel® Core™ 9 processor 273PE | System 1: Processor: Intel Core 9 273PE AI accelerator: CPU Memory: 32GB Infernce engine and version: OpenVINO 2025.3 System 2: Processor: Intel® Core™ i7 processor 14700 AI accelerator: CPU Memory: 32GB Infernce engine and version: OpenVINO 2025.3 | As measured by: Thread‑per‑channel efficiency | February 2026 |
| 200 | Performance per dollar (Saimos) | Intel® Core™ 9 processor 273PE delivers up to 1.63x better video analytics performance per dollar than Intel® Core™ i7 processor 14700 | Intel® Core™ 9 processor 273PE | System 1: Processor: Intel Core 9 273PE AI accelerator: CPU Memory: 32GB Infernce engine and version: OpenVINO 2025.3 Base power: 65W MSRP: $549 System 2: Processor: Intel® Core™ i7 processor 14700 AI accelerator: CPU Memory: 32GB Infernce engine and version: OpenVINO 2025.3 Base power: 65W MSRP: $384 | As measured by: AI inference performance per dollar | February 2026 |
| 200 | Performance per watt per dollar (Saimos) | Intel® Core™ 9 processor 273PE delivers up to 1.63x better video analytics performance per watt per dollar than Intel® Core™ i7 processor 14700 | Intel® Core™ 9 processor 273PE | System 1: Processor: Intel Core 9 273PE AI accelerator: CPU Memory: 32GB Infernce engine and version: OpenVINO 2025.3 Base power: 65W MSRP: $549 System 2: Processor: Intel® Core™ i7 processor 14700 AI accelerator: CPU Memory: 32GB Infernce engine and version: OpenVINO 2025.3 Base power: 65W MSRP: $384 | As measured by: AI inference performance per watt per dollar | February 2026 |
| 200 | Performance per watt (Saimos) | Intel® Core™ 9 processor 273PE delivers up to 2.33x better video analytics performance per watt than Intel® Core™ i7 processor 14700 | Intel® Core™ 9 processor 273PE | System 1: Processor: Intel Core 9 273PE AI accelerator: CPU Memory: 32GB Infernce engine and version: OpenVINO 2025.3 Base power: 65W MSRP: $549 System 2: Processor: Intel® Core™ i7 processor 14700 AI accelerator: CPU Memory: 32GB Infernce engine and version: OpenVINO 2025.3 Base power: 65W MSRP: $384 | As measured by: AI inference performance per watt | February 2026 |
| 200 | Virtual PLC density (Codesys) | achieving roughly a 1.67x increase in virtual PLC density over the previous generation | Intel® Core™ 9 processor 273PE | System 1: Processor: Intel Core 9 273PE Memory: 64GB Base power: 65W MSRP: $549 System 2: Processor: Intel® Core™ i7-13700 Processor Memory: 64GB Base power: 65W MSRP: $384 | As measured by: Virtual PLC density | February 2026 |
| 200 | Workload density per dollar (Codesys) | Intel® Core™ 9 processor 273PE delivers 1.17x higher workload density per dollar than Intel® Core™ i7 processor 14700 | Intel® Core™ 9 processor 273PE | System 1: Processor: Intel Core 9 273PE Memory: 64GB Base power: 65W MSRP: $549 System 2: Processor: Intel® Core™ i7-13700 Processor Memory: 64GB Base power: 65W MSRP: $384 | As measured by: Virtual PLC workload density per dollar | February 2026 |
| 200 | Workload density per watt per dollar (Codesys) | Intel® Core™ 9 processor 273PE delivers 1.17x higher workload density per watt per dollar than Intel® Core™ i7 processor 14700 | Intel® Core™ 9 processor 273PE | System 1: Processor: Intel Core 9 273PE Memory: 64GB Base power: 65W MSRP: $549 System 2: Processor: Intel® Core™ i7-13700 Processor Memory: 64GB Base power: 65W MSRP: $384 | As measured by: Virtual PLC workload density per watt per dollar | February 2026 |
| 200 | Workload density per watt(Codesys) | Intel® Core™ 9 processor 273PE delivers 1.67x higher workload density per watt than Intel® Core™ i7 processor 14700 | Intel® Core™ 9 processor 273PE | System 1: Processor: Intel Core 9 273PE Memory: 64GB Base power: 65W MSRP: $549 System 2: Processor: Intel® Core™ i7-13700 Processor Memory: 64GB Base power: 65W MSRP: $384 | As measured by: Virtual PLC workload density per watt | February 2026 |
| 200 | Various KPIs (XYZ Robotics) | In benchmarking runs, average computation time per task dropped from 0.39s to 0.26s (~1.5× faster), with single-operation latency reduced by nearly 1.5x (from 0.252s to 0.171s). These improvements significantly reduce planning and perception delays within each pick-and-place cycle. While full system throughput is governed primarily by mechanical motion, the faster compute pipeline reduces idle time and jitter during execution. Across real production cycles-where each pick-and-place averages ~10 seconds and includes multiple compute steps-this translates to an estimated 5-10% improvement in overall productivity. That means more output from the same robots, fewer late waves and faster payback on existing automation without changes to downstream equipment or labor. Reliability improved alongside speed. Module failures were reduced by nearly 9.6x, PP-step failures were eliminated, and timeouts dropped to zero. The system also saw far fewer "worse-than-threshold" events across both simple and complex operations, meaning the robot spends less time waiting, re-planning, or recovering from slow computations. | Intel® Core™ 9 processor 273PE | System 1: Processor: Intel Core 9 273PE Memory: 32GB DDR 5600 OS: Ubuntu 20.04 Base power: 65W MSRP: $549 System 2: Processor: Intel® Core™ i9-14900K Processor Memory: 32GB DDR 5600 OS: Ubuntu 20.04 Base power: 125W MSRP: $589 | As measured by: XYZ Robotics various KPIs | February 2026 |
| 200 | Robotic pick and place workload performance per dollar (XYZ Robotics) | Intel® Core™ 9 processor 273PE delivers up to 1.6x better performance per dollar than Intel® Core™ i9 processor 14900K in robotic pick and place workload | Intel® Core™ 9 processor 273PE | System 1: Processor: Intel Core 9 273PE Memory: 32GB DDR 5600 OS: Ubuntu 20.04 Base power: 65W MSRP: $549 System 2: Processor: Intel® Core™ i9-14900K Processor Memory: 32GB DDR 5600 OS: Ubuntu 20.04 Base power: 125W MSRP: $589 | As measured by: XYZ Robotics pick and place workload performance per dollar | February 2026 |
| 200 | Robotic pick and place workload performance per watt (XYZ Robotics) | Intel® Core™ 9 processor 273PE delivers up to 2.9x better performance per watt than Intel® Core™ i9 processor 14900K in robotic pick and place workload | Intel® Core™ 9 processor 273PE | System 1: Processor: Intel Core 9 273PE Memory: 32GB DDR 5600 OS: Ubuntu 20.04 Base power: 65W MSRP: $549 System 2: Processor: Intel® Core™ i9-14900K Processor Memory: 32GB DDR 5600 OS: Ubuntu 20.04 Base power: 125W MSRP: $589 | As measured by: XYZ Robotics pick and place workload performance per watt (XYZ Robotics) | February 2026 |
| 200 | Robotic pick and place workload performance per watt per dollar (XYZ Robotics) | Intel® Core™ 9 processor 273PE delivers up to 3.1x better performance per watt per dollar than Intel® Core™ i9 processor 14900K in robotic pick and place workload | Intel® Core™ 9 processor 273PE | System 1: Processor: Intel Core 9 273PE Memory: 32GB DDR 5600 OS: Ubuntu 20.04 Base power: 65W MSRP: $549 System 2: Processor: Intel® Core™ i9-14900K Processor Memory: 32GB DDR 5600 OS: Ubuntu 20.04 Base power: 125W MSRP: $589 | As measured by: XYZ Robotics pick and place workload performance per watt per dollar (XYZ Robotics) | February 2026 |
| 200S | SPECrate®2017_int_base (1 copy) | Intel® Core™ 7 processor 251E delivers up to 1.06x (est.) faster single-threaded performance than Intel® Core™ i7 processor 14700 | Intel® Core™ 7 251E | System 1: Intel® Core™ 7 251E Configuration: Processor: Intel® Core™ 7 251E / BTL S 8P+16E PL1=65W, Max Freq up to 5.6 GHz Baseboard: Intel Corporation RPL-S ADP-S DDR5 UDIMM CRB Memory: 64GB (2x32GB DDR5 5200 MT/s) Storage: WD_BLACK SN750 SE 500GB Cache: 36 MB Intel® Smart Cache Operating System: Microsoft Windows 10 IoT Enterprise LTSC 2021 10.0.19044.5131. Workload & version: SPEC CPU 2017 BIOS Version: RPLISFI1.R00.5352.A01.2410170827 Microcode: 000B0674h Hyperthreading: Enabled Intel Turbo Boost: Enabled Power & Perf Policy: Balanced Workload & version: cpu2017-1.1.9 Compiler: ICC 2023.2.3 Windows Run Method: ex. cold (fresh-boot), warm (post-boot after few back to back iterations): Warm Iterations and result choice (median, average, min, max): 3 iterations System 2: Intel® Core™ i7-14700 Configuration: Processor: Intel® Core™ i7-14700 / Raptor Lake - S Refresh, 8P+12E, PL1=65W, Max Freq up to 5.4GHz Baseboard: Intel Corporation RPL-S ADP-S DDR5 UDIMM CRB Memory: 64GB (2x32GB DDR5 5200 MT/s) Storage: WD_BLACK SN750 SE 500GB Cache: 33 MB Intel® Smart Cache Operating System: Microsoft Windows 10 IoT Enterprise LTSC 2021 10.0.19044.5131. Workload & version: SPEC CPU 2017 BIOS Version: RPLISFI1.R00.4272.A03.2308030545 Microcode: 000B0671h Hyperthreading: Enabled Intel Turbo Boost: Enabled Power & Perf Policy: Balanced Workload & version: cpu2017-1.1.9 Compiler: ICC 2023.2.3 Windows Run Method: ex. cold (fresh-boot), warm (post-boot after few back to back iterations): Warm Iterations and result choice (median, average, min, max): 3 iterations | System 1: Measurement: 13.4 System 2: Measurement: 12.6 | As of Dec 2024 |
| 200S | SPECrate®2017_int_base (n-copies) | Intel® Core™ 7 processor 251E delivers up to 1.08x (est.) faster multi-threaded performance than Intel® Core™ i7 processor 14700 | Intel® Core™ 7 251E | Same as above | System 1: Measurement: 111 System 2: Measurement: 102 | As of Dec 2024 |