Performance Index

ID Date Classification
615781 01/06/2026 Public
Document Table of Contents

Intel® Core™ Ultra Processors (Series 3)

Claim Processor Systems Measured Measurement Measurement Period
Intel® Core™ Ultra X9 processor 388H delivers up to 4.5x higher throughput on vision language action models compared to NVIDIA Jetson Orin™ AGX 64GB Intel® Core™ Ultra X9 processor 388H System 1: Intel® Core™ Ultra X9 38H, Baseboard: CRB Board, CPU Model: Intel® Core™ Ultra X9 388H, Sockets: 1, Cores per Socket: 16, Hyperthreading: No, CPUs: 16, Intel Turbo Boost: Enabled, Uncore RAPL: N/A, Base Frequency: 4.0 GHz, All-core Maximum Frequency: 5.0 GHz, Maximum Frequency: N/A, NUMA Nodes: N/A, Prefetchers: N/A, PPINs: N/A, Accelerators: DLB 0, DSA 0, IAA 0, QAT 0, vRAN Boost 0, Installed Memory: 16 GB (8×2 GB LPDDR5 8533 MT/s [7467 MT/s]), Hugepagesize: 2048 kB, Transparent Huge Pages: madvise, Automatic NUMA Balancing: Disabled, Disk: 1×3.6T Samsung SSD 990 EVO Plus 4TB, BIOS: PTLFWTI.R00.3332.D52.2509404547, OS: Ubuntu 24.04.3 LTS, Kernel: 6.17-next, TDP: 65W, Power & Perf Policy: Balanced Performance, Frequency Governor: powersave, Frequency Driver: intel_​pstate, Max C-States: POLL: Enabled, C1_​ACPI: Enabled, C2_​ACPI: Enabled, C3_​ACPI: Enabled.

System 2: Name: Orin AGX 64GB, CPU: 12-core Arm Cortex-A78AE v8.2 64-bit CPU 3MB L2 + 6MB L3 @ 2.2GHz, GPU: NVIDIA Ampere architecture with 2048 NVIDIA® CUDA® cores and 64 Tensor cores @ 1.3GHz, Memory: 64GB 256-bit LPDDR5 @ 204.8 GB/s, Storage: 64GB eMMC 5.1, Accelerator: 2× NVDLA v2.0, PVA v2.0, Accelerator: APE, NVENC, NVDEC, NVJPG, NVJPG1, OFA, VIC, SE, OS: Ubuntu 22.04.5 LTS, Kernel: 5.15.148-tegra, Jetpack: 6.2.1, CUDA: 12.6, Jetson clocks: Default, NVP modes: 0 - MAXN.

System 1: 3854.85 inference/sec

System 2: 854 inference/sec

As estimated by Action Chunking Transformer (ACT) Bimanual insertion model (using four cameras - 640x480 with FP32)

As of November 2025
Intel Core Ultra 5 processor 338H is nearly 1.1x lower latency vs NVDIA RTX 4060 Intel Core Ultra 5 processor 338H System 1: Intel Core Ultra 5 processor 338H Integrated Arc GPU NPU (not used in the testing) 64G DDR5 6400 MT/s Ubuntu 24.04.3 LTS

System 2: Intel Core i5-10210U NVIDIA GeForce RTX 4060 (8GB VRAM) 32G DDR4 Ubuntu 24.04.3 LTS

System 1: 2040ms

System 2: 2234.11ms

As of November 2025
Intel Core Ultra 5 processor 338H is up to 2.65x more efficient vs RTX 4060 Intel Core Ultra 5 processor 338H Same as above System 1: 22.6W

System 2: 60W (GPU only)

As of November 2025
Up to 31% or $596 savings per system over 5 years (Intel Core Ultra 5 processor 338H vs NVDIA RTX 4060) Intel Core Ultra 5 processor 338H Same as above Assumptions:

Electricity: $0.15 per kWh. U.S. national average commercial electricity rate provided by US Energy Info Admin, which was approximately $0.1255/kWh in 2022, choosing $0.15/kWh as a conservative estimate that rounds upward to reflect potential regional variability and rate increases. Heavy use: 24×7 = 8,760 h/yr × 5 yrs Power draw: System 2 = 60 W; System 1 = 22.6 W

System 1: $999 (estimate based on prior gen Intel Core Ultra 5 or ARL H-based Asus NUC 15 Pro [US$799, source: https://shop.asus.com/us/asus-nuc-15-pro-cnf.html plus 15% premium.)

System 2: $1499 (estimate based on https://www.newegg.com/p/1VK-01YR-00218?item=9SIACP1K370559)

Hardware savings: $1499 - $999 = $500

5-Year Energy Cost:

System 1: 0.0226 × 8760 × 0.15 × 5 = $148.40

System 2: 0.06 × 8760 ×0.15 × 5 = $394.2

Energy savings = $245.80

Total TCO:

System 1: $1,147.40

System 2: $1,893.20

Total savings = $745.80 or 39.4%

As of November 2025
Intel Core Ultra 7 processor 358H is up to 1.43x lower latency vs NVDIA RTX 4060 Intel® Core™ Ultra X7 processor 358H System 1: Intel Core Ultra 7 processor 358H Integrated Arc GPU NPU (not used in the testing) 64G DDR5 6400 MT/s Ubuntu 24.04.3 LTS

System 2: Intel Core i5-10210U NVIDIA GeForce RTX 4060 (8GB VRAM) 32G DDR4 Ubuntu 24.04.3 LTS

System 1: 1565ms

System 2: 2234.11ms

As of November 2025
Intel Core Ultra 7 processor 358H is up to 2.7x more efficient vs NVDIA RTX 4060 Intel® Core™ Ultra X7 processor 358H Same as above System 1: 22.3W

System 2: 60W (GPU only)

As of November 2025
Up to 31% or $596 savings per system over 5 years (Intel Core Ultra X7 processor 358H vs NVDIA RTX 4060) Intel® Core™ Ultra X7 processor 358H Same as above Assumptions:

Electricity: $0.15 per kWh. U.S. national average commercial electricity rate provided by US Energy Info Admin, which was approximately $0.1255/kWh in 2022, choosing $0.15/kWh as a conservative estimate that rounds upward to reflect potential regional variability and rate increases.

Heavy use: 24×7 = 8,760 h/yr × 5 yrs

Power draw: System 2 = 60 W; System 1 = 22.3 W

System 1: $1150 (estimate based on prior gen Intel Core Ultra 7 or ARL H-based Asus NUC 15 Pro [US$999, source: https://shop.asus.com/us/asus-nuc-15-pro-cnf.html plus 15% premium.)

System 2: $1499 (estimate based on https://www.newegg.com/p/1VK-01YR-00218?item=9SIACP1K370559)

Hardware savings: $1499 - $1150 = $349

5-Year Energy Cost:

System 1: 0.0223 × 8760 × 0.15 × 5 = $146.70

System 2: 0.06 × 8760 × 0.15 × 5 = $394.2

Energy savings = $247.50

Total TCO:

System 1: $1296.70

System 2: $1,893.20

Total savings = $596.50 or 31.5%

As of November 2025
Intel Core Ultra 7 processor 358H is 3.7x faster in text to speech (TTS) vs NVDIA Jetson AGX Orin 32GB Intel® Core™ Ultra X7 processor 358H System 1: Intel® Core™ Ultra X7 358H Integrated Arc GPU and NPU 64GB Ubuntu 24.04

System 2: Nvidia Jetson AGX Orin Ampere GPU 32GB Ubuntu 22.04

System 1: 7.18 RTF (on CPU)

System 2: 1.94 RTF

As of November 2025
Intel Core Ultra 7 processor 358H is 3.93x faster in Gemma 12B performance vs NVDIA Jetson AGX Orin 32GB Intel® Core™ Ultra X7 processor 358H Same as above System 1: 11.92 token/sec (on GPU)

System 2: 3.03 token/sec

As of November 2025
Intel Core Ultra 7 processor 358H is 3.7x faster in Yolo11x-seg performance vs NVDIA Jetson AGX Orin 32GB Intel® Core™ Ultra X7 processor 358H Same as above System 1: 10.51 FPS (on NPU)

System 2: 1.95 FPS

As of November 2025
In our evaluation against NVIDIA Jetson AGX Orin, the Intel® Core™ Ultra X7 358H delivered 3.7× faster TTS, 3.9× higher LLM throughput, and 5.4× faster multi-task vision at just 25W Intel® Core™ Ultra X7 processor 358H Same as above System 1: 25W

System 2: 17W

As of November 2025
Up to 26% or $449 savings per system (Intel Core Ultra 7 processor 358H vs NVDIA Jetson AGX Orin 32GB) Intel® Core™ Ultra X7 processor 358H Same as above System 1: $1150 (estimate based on prior gen Intel Core Ultra 7 or ARL H-based Asus NUC 15 Pro [US$999, source: https://shop.asus.com/us/asus-nuc-15-pro-cnf.html plus 15% premium.)

System 2: $1599 (estimate based on https://www.seeedstudio.com/AGX-Orin-32GB-H01-Kit-p-5569.html) Hardware savings: $1,599 - $1,150 = $449 or 26%

As of November 2025
Intel Core Ultra 7 processor 358H is 1.55x faster in text to speech (TTS) vs NVDIA Jetson Thor Intel® Core™ Ultra X7 processor 358H System 1: NVIDIA Jetson Thor (T5000) Blackwell GPU 128GB Ubuntu 24.04

System 2: Nvidia Jetson AGX Orin Ampere GPU 32GB Ubuntu 22.04

System 1: 7.18 RTF (on CPU)

System 2: 4.62 RTF

As of November 2025
In our evaluation alongside NVIDIA Jetson Thor, the Intel® Core™ Ultra X7 358H delivered 1.55× faster TTS and nearly 4× faster multi-task vision at just 25W, with LLM performance in a similar range Intel® Core™ Ultra X7 processor 358H Same as above System 1: 11.92 token/sec (on GPU)

System 2: 12.77 token/sec

As of November 2025
Intel Core Ultra 7 processor 358H is nearly 4x faster in Yolo11x-seg performance vs NVDIA Jetson Thor Intel® Core™ Ultra X7 processor 358H Same as above System 1: 10.51 FPS (on NPU)

System 2: 2.72 FPS

As of November 2025
Intel Core Ultra 7 processor 358H is 2.2x more efficient vs NVDIA Jetson Thor Intel® Core™ Ultra X7 processor 358H Same as above System 1: 25W

System 2: 55W

As of November 2025
Up to 67% or $2,447 savings per system over 5 years (Intel Core Ultra X7 processor 358H vs NVDIA Jetson Thor) Intel® Core™ Ultra X7 processor 358H Same as above Assumptions:

Electricity: $0.15 per kWh. U.S. national average commercial electricity rate provided by US Energy Info Admin, which was approximately $0.1255/kWh in 2022, choosing $0.15/kWh as a conservative estimate that rounds upward to reflect potential regional variability and rate increases.

Use: 12 h/day

Power draw: System 2 = 55 W; System 1 = 25 W

System 1: $1150 (estimate based on prior gen Intel Core Ultra 7 or ARL H-based Asus NUC 15 Pro [US$999, source: https://shop.asus.com/us/asus-nuc-15-pro-cnf.html plus 15% premium.)

System 2: $3499 (estimate based on https://www.seeedstudio.com/NVIDIA-Jetson-AGX-Thor-Developer-Kit-p-9965.html)

Hardware savings: $3499 - $1150 = $2349

5 Year Energy Cost:

System 1: 0.025 kW × 21,900 h = 547.5 kWh × 0.15 = $82.125

System 2: 0.055 kW × 21,900 h = 1,204.5 kWh x 0.15= $180.675

Total TCO:

System 1: $1,150 + $82.13 = $1,232.13

System 2: $3,499 + $180.68 = $3,679.68

Total savings = $3,679.68−$1,232.13 = $2,447.55 or 66.5%

As of November 2025
By distributing computation across the CPU, NPU, and integrated Arc GPU, PTL completes the same analysis in roughly 31 seconds, up to 2.5× faster overall. Individual stages see even stronger gains-localization runs up to 152× faster on the NPU, heart segmentation up to 25× faster on the CPU, and calcium segmentation up to 26.8× faster on the integrated Arc GPU. Intel® Core™ Ultra X7 processor 358H System 1: Intel® Core™ Ultra X7 358H (PTL) Integrated Arc GPU NPU 64G

System 2: c2-standard-4 (4 vCPUs) Intel Cascade Lake (Google Cloud instance) No 16G GCP VM Debian 11 + Ubuntu24.04 Docker container

System 1: 2ms (on NPU)

System 2: 305ms

As of Dec 2025
Same as above Intel® Core™ Ultra X7 processor 358H Same as above System 1: 2.1ms (on CPU)

System 2: 53.5ms

As of Dec 2025
Same as above Intel® Core™ Ultra X7 processor 358H Same as above System 1: 5.2ms (on GPU)

System 2: 139.5ms

As of Dec 2025
Same as above Intel® Core™ Ultra X7 processor 358H Same as above System 1: 31 sec

System 2: 77 sec

As of Dec 2025
Activeloop and Pinkbot achieved 9X faster throughput with Intel's Panther Lake. Intel® Core™ Ultra X7 processor 358H System 1: Intel® Core™ Ultra X7 processor 358H Integrated Arc GPU NPU (not used) 64G Ubuntu 24.04 LTS

System 2: Quad-core ARM® Cortex®-A57 MPCore processor 128-core NVIDIA Maxwell™ architecture GPU 4GB 64-bit LPDDR4 Ubuntu 22.04 LTS

System 1: 3.58 images/sec

System 2: 0.4 images/sec

As of Dec 2025
4.9× faster on our lighter model (smolvla_​base), 8.3× faster on our mid-range model (pi0_​base), and 8.6× faster on our higher-load model (pi05_​base) than Jetson AGX Orin Intel® Core™ Ultra X7 processor 358H System 1: Intel® Core™ Ultra X7 358H Integrated Arc GPU NPU (not used) 64GB Ubuntu 24.04

System 2: Nvidia Jetson AGX Orin Ampere GPU 64GB Ubuntu 22.04

lerobot/smolvla_​base Inference latency System 1: 244.66 ms System 2: 1202.46 ms

lerobot/pi0_​base Inference latency System 1: 1057.87 ms System 2: 8804.47 ms

lerobot/pi05_​base Inference latency System 1: 1283.32 ms System 2: 10977.88 ms

As of Dec 2025
Up to 42% or $849 savings per system (Intel Core Ultra 7 processor 358H vs NVDIA Jetson AGX Orin 64GB) Intel® Core™ Ultra X7 processor 358H Same as above System 1: $1150 (estimate based on prior gen Intel Core Ultra 7 or ARL H-based Asus NUC 15 Pro [US$999, source: https://shop.asus.com/us/asus-nuc-15-pro-cnf.html plus 15% premium.)

System 2: $1999 (estimate based on https://www.seeedstudio.com/NVIDIArJetson-AGX-Orintm-64GB-Developer-Kit-p-5641.html)

Hardware savings: $1,999 - $1,150 = $849 or 42%

As of November 2025
The Intel Panther Lake platform shows great promise in this regard, as we saw a 20% absolute performance gain for the built-in GPU running our neural networks vs. our current NVidia Orin AGX and even more importantly a boost in performance per watt exceeding 80%. Intel® Core™ Ultra X7 processor 358H System 1: Intel® Core™ Ultra X7 358H Integrated Arc GPU NPU (not used) 64GB Ubuntu 24.04

System 2: Nvidia Jetson AGX Orin Ampere GPU 64GB Ubuntu 22.04

Cartken Panoptic Model Inference Throughput System 1: 393.2 System 2: 330 Improvement gain: 19.15%

Cartken Panoptic Model Power Efficiency System 1: 25.15 System 2: 38 Efficiency gain: 33.82%

Cartken Panoptic Model Inference/Watt System 1: 393.2 / 25.15 = 15.63 System 2: 330 / 38 = 8.68 Improvement gain: 80%

Cartken Segmentation Model Inference Throughput System 1: 474.2 System 2: 380 Improvement gain: 24.79%

Cartken Segmentation Model Power Efficiency System 1: 25.18 System 2: 38 Efficiency gain: 33.74%

Cartken Segmentation Model Inference/Watt System 1: 474.2 / 25.18 = 18.83 System 2: 380 / 38 = 10 Improvement gain: 88%

As of Dec 2025
Up to 42% or $904 savings per system (Intel Core Ultra X7 processor 358H vs NVDIA Jetson AGX Orin 64GB) Intel® Core™ Ultra X7 processor 358H Same as above Assumptions:

Electricity: $0.15 per kWh. U.S. national average commercial electricity rate provided by US Energy Info Admin, which was approximately $0.1255/kWh in 2022, choosing $0.15/kWh as a conservative estimate that rounds upward to reflect potential regional variability and rate increases.

Operating hours: 16 h/day × 365 = 5,840 h/year. 16 hours/day operation, representative of two-shift industrial or campus robotic deployments.

Power draw: System 2 = 38W; System 1 = 25.15W

System 1: $1150 (estimate based on prior gen Intel Core Ultra 7 or ARL H-based Asus NUC 15 Pro [US$999, source: https://shop.asus.com/us/asus-nuc-15-pro-cnf.html plus 15% premium.)

System 2: $1999 (estimate based on https://www.seeedstudio.com/NVIDIArJetson-AGX-Orintm-64GB-Developer-Kit-p-5641.html)

Hardware savings: $1,999 - $1,150 = $849 or 42%

Annual Energy Cost: System 1: 25.15 W × 5,840 h ÷ 1000 = 147 kWh × 0.15 = $22 System 2: 38 W × 5,840 h ÷ 1000 = 222 kWh × 0.15= $33

5 year Energy Cost: System 1: $22 × 5 = $110 System 2: $33 × 5 = $165

Total TCO:

System 1: $1,150 + $110 = $1,260

System 2: $1,999 + $165 = $2,164

Total savings = $2,164−$1,260 = $904 or 42%

As of November 2025
The system delivers nearly 2x the energy efficiency per token and costs about half as much as before. Intel® Core™ Ultra X7 processor 358H System 1: Intel® Core™ Ultra X7 358H Integrated Arc GPU NPU 128GB DDR5 7200 Ubuntu 24.04 LTS

System 2: Intel® Core™ i7-14700 Processor NVIDIA GeForce RTX 3090Ti 192 GB DDR5 5600 Ubuntu 22.04 LTS

System 1: 2.14 Watt/Token/Sec

System 2: 4.22 Watt/Token/Sec

Efficiency gain = 1.97X

As of November 2025
The system delivers nearly 2x the energy efficiency per token and costs about half as much as before. Intel® Core™ Ultra X7 processor 358H System 1: Intel® Core™ Ultra X7 358H Integrated Arc GPU NPU 128GB DDR5 7200 Ubuntu 24.04 LTS

System 2 (consist of 2 systems): Intel® Core™ i7-14700 Processor NVIDIA GeForce RTX 3090Ti 192 GB DDR5 5600 Ubuntu 22.04 LTS Intel® Core™ Ultra 7 Processor 255H Integrated Intel Arc 140T GPU 64GB DDR5 5600 Ubuntu 22.04 LTS

System 1: $3150

System 2: $4700 + $1850 = 6550

TCO savings = $6550 - $3150 = $3400 / 51% lower

As of November 2025
Physical AI has to run at the edge, under real power and thermal constraints. In our benchmarks, Intel delivered nearly 2× faster time-to-first-token while operating at roughly 22 watts versus close to 90 watts on a discrete GPU, enabling responsive, stable Physical AI systems without the cost and complexity of a separate accelerator. Intel® Core™ Ultra X7 processor 358H System 1: Intel® Core™ Ultra X7 358H Integrated Arc GPU NPU (not used) 64GB Ubuntu 24.04

System 2: Intel 13600KF NVDIA RTX 5080 64GB DDR4 Windows 11 24H2

Mistral 7B TTFT (512 tokens): System 1: 156 ms System 2: 288 ms Improvement gain: 1.9X

Mistral 7B TTFT (128 tokens): System 1: 143 ms System 2: 290 ms Improvement gain: 2X

Power Efficiency System 1: 22W System 2: 86W Efficiency gain: 4X

As of Dec 2025
Intel Core Ultra X9 processor 388H is nearly 1.13x slower in AI model fine tuning vs NVDIA RTX 3090 Intel Core Ultra X9 processor 388H System 1: Intel Core Ultra X9 processor 388H Integrated Arc GPU NPU (not used in the testing) 16G LPDDR5 Ubuntu 24.04.3 LTS

System 2: Intel® Core™ i9-12900K NVIDIA GeForce RTX 3090 24GB (Dedicated) GDDR6X Ubuntu 24.04.3 LTS

System 1: 71.8s

System 2: 63.7s

As of November 2025
"for only 17% of the cost" 5.8X or $5,549 estimate savings if you move away from dual-systems to PTL Intel Core Ultra X9 processor 388H System 1: Intel Core Ultra X9 processor 388H Integrated Arc GPU NPU (not used in the testing) 16G LPDDR5 Ubuntu 24.04.3 LTS

System 2: Intel® Core™ i9-12900K NVIDIA GeForce RTX 3090 24GB (Dedicated) GDDR6X Ubuntu 24.04.3 LTS System 3: 12-core Arm® Cortex®-A78AE v8.2 64-bit CPU 2048-core NVIDIA Ampere architecture GPU with 64 Tensor Cores 64GB (Shared) LPDDR5 Ubuntu 24.04.3 LTS

System 1: $1150

System 2: $4700

System 3: $1999 Delta = ($4700+$1999) - $1150 = $5549 $6699/$1150 = 5.82X $1150/$6699 x 100% = 17%

As of Dec 2025
Intel® Core™ Ultra X9 processor 388H delivers up to 1.9x higher performance on LLM compared to NVIDIA Jetson Orin™ AGX 64GB Intel® Core™ Ultra X9 processor 388H System 1: CPU Model: Intel(R) Core(TM) Ultra X9 388H Host Name: ptl, Time: Mon Nov 17 03:50:58 AM MST 2025, System Name: Intel Corporation Panther Lake Client Platform, Baseboard: Intel Corporation PTL-UP LPS T3 RVP1, Chassis: Intel Corporation Laptop, CPU Model: Intel(R) Core(TM) Ultra X9 38BH, Architecture: x86_​64, Microarchitecture: -, L3 Cache: 18 MiB, Cores per Socket: 16, Sockets: 1, Hyperthreading: Enabled, CPUs: 16, Intel Turbo Boost: Enabled, Base Frequency: 4.0 GHz, All-Core Maximum Frequency: 5.0 GHz, NUMA Nodes: 1, Prefetchers: 1, PINs: -, Accelerators Available [used]: DLB: 0 [0], DSA: 0 [0], IAA: 0 [0], QAT: 0 [0], vRAN Boost: 0 [0], Installed Memory: 16 GB (2×8 GB LPDDR5 8533 MT/s [7467 MT/s]), Hugepagesize: 2048 kB, Transparent Huge Pages: madvise, Automatic NUMA Balancing: Disabled, NIC: 4x, Disk: 1×3.67 Samsung SSD 990 EVO Plus 4TB, BIOS: PTLFWTI.800.3332.D52.2509404547, Microcode: 0xD0, OS: Ubuntu 24.04.3 LTS, Kernel: 6.17-next, TDP: 45W, Energy Performance Bias: Balanced Performance (6), Scaling Governor: powersave, Driver: intel_​pstate, C-States: POLL: Enabled, C1: ACPI Enabled, C2: ACPI Enabled, C3: ACPI Enabled, Efficiency Latency Control: Enabled, Vulnerabilities: L1g OK, Q Vulnerable.

System 2: Name: orin, CPU: 12-core Arm Cortex-A78AE v8.2 64-bit CPU 3MB L2 + 6MB L3 @ 2.2GHz, GPU: NVIDIA Ampere architecture with 2048 NVIDIA® CUDA® cores and 64 Tensor cores @ 1.3GHz, Memory: 64GB 256-bit LPDDR5 @ 204.8 GB/s, Storage: 64GB eMMC 5.1, Accelerator: 2× NVDLA v2.0, PVA v2.0, Accelerator: APE, NVENC, NVDEC, NVJPG, NVJPG1, VIC, SE, OS: Ubuntu 22.04.5 LTS, Kernel: 5.15.148-tegra, Jetpack: 6.2.1, Deepstream: 7.0, CUDA: 12.6, TensorRT: v100300, Jetson clocks: Default, NVP modes: 0 - MAXN.

System 1: DeepSeek Ilama-8B first token latency measurement: 288

System 2: DeepSeek Ilama-8B first token latency measurement: 543

As of November 2025
Intel® Core™ Ultra X9 processor 388H delivers up to 1.7x higher image classification performance compared to NVIDIA Jetson Orin™ AGX 64GB Intel® Core™ Ultra X9 processor 388H Same as above System 1 MobileNet BS1 FPS measurement: 3596

System 2 MobileNet BS1 FPS measurement: 2114

As of November 2025
Intel® Core™ Ultra X9 processor 388H delivers up to 2.3x better performance per watt per dollar on end to end video analytics workloads compared to NVIDIA Jetson Orin™ AGX 64GB Intel® Core™ Ultra X9 processor 388H Same as above System 1 measurement: 9.28E-04

System 2 measurement: 4E-04

As of November 2025