| Agilex™ 45% Fabric Performance improvement over Stratix® 10 FPGAs | Intel® Agilex™ FPGA | Data Center, Cloud, Communication and Embedded | On average, designs running in the comparable mid-speed grade of Intel® Agilex™ FPGAs achieve a geomean of 45% improvement in Fmax compared to the same designs running in the most popular speed grade of Intel® Stratix® 10 devices. | Derived from testing an example design suite comparing maximum clock speed (Fmax) achieved in Intel® Stratix® 10 devices with the Fmax achieved in Intel® Agilex™ devices, using Intel® Quartus® Prime Software. | December 2020 |
| Agilex averages 45% faster in Data Center, Network & Edge | Intel® Agilex™ FPGA | Data Center, Cloud, Communication and Embedded | On average, designs running in the comparable mid-speed grade of Intel® Agilex™ FPGAs achieve a geomean of 45% improvement in Fmax compared to the same designs running in the most popular speed grade of Intel® Stratix® 10 devices. | Derived from testing an example design suite (including designs used in data center, networking and edge applications)comparing maximum clock speed (Fmax) achieved in Intel® Stratix® 10 devices with the Fmax achieved in Intel® Agilex™ devices, using Intel® Quartus® Prime Software. | December 2020 |
| Up to 40% Lower Total Power Compared to Intel ® Stratix ® 10 FPGAs | Intel® Agilex™ FPGA | Data Center, Cloud, Communication and Embedded | Derived from testing an example design suite comparing total power estimates of each design running in Intel® Stratix® 10 FPGAs compared to the total power consumed by the same design running in Intel® Agilex™ FPGAs. | Bitmap PHOTO Power estimates of Intel® Stratix® 10 FPGA designs are obtained from Intel® Stratix® 10 and Agilex FPGA are obtained using Intel® FPGA Power and Thermal Calculator (PTC 20.4), and internal Intel® analysis and architecture simulation and modeling. The six workloads compared is shown below: | December 2020 |
| 50% Higher Performance Compared to competing 7nm FPGA | Intel® Agilex™ FPGA | Embedded | Derived from a set of five video IP designs comparing Fmax of each design achieved in Xilinx Versal ACAP devices with the Fmax achieved in Intel® Agilex™ devices, using Intel® Quartus® Prime Software (version 20.4) and Xilinx Vivado Software (version 2020.2). | On geomean, designs running in the mid speed grade of Intel® Agilex™ FPGAs achieve a 50% higher in Fmax compared to the same designs running in the mid speed grade of Xilinx Versal devices (-2M speed grade), and 42% higher in Fmax compared to the same designs running in the fast speed grade of Xilinx Versal devices (-2H speed grade) and 24% higher in Fmax compared to the same designs running in the mid speed grade of Xilinx 16nm VUP devices (-2 speed grade). | January 2021 |
| ~2X better Fabric Performance per Watt Compared to competing 7nm FPGA | Intel® Agilex™ FPGA | Data Center, Cloud, Communication and Embedded | The Intel Agilex and Versal devices (part number/speed grade) used in the perf/watt comparison are as follows: Agilex: AGF014-2, Versal: Equivalent density to AGF014-2 in 2M speed grade. Design profile used for the comparison: Base Stratix 10 frequency: 450MHz, Agilex Fmax = 450 * 1.59 = 716Mhz, Versal Fmax = 450 * 1.19 = 536Mhz. | Bitmap PHOTO Resource usage: 60% of AGF014 resource (logic, M20K memory, DSP), power at the respective Fmax Version of all the tools used for this data: Agilex: Quartus 20.4/PTC 21.1 b149, Versal: Vivado 2020.2/XPE: 2020.2. | March 2021 |
| Up to 49% faster fabric performance compared to prior generation FPGA for high-speed 5G fronthaul gateway applications | Intel® Agilex™ FPGA | Communication | Derived from comparing the Fmax result of Agilex FPGA and Stratix 10 FPGA in a fronthaul gateway example design. | using the FHGW example design and running the design targetting both Stratix 10 and Agilex in Quartus Prime 20.4 software. | February 2021 |
| Intel® Agilex™ performs 15% to 20% faster in Fmax when compared to competing 7nm FPGAs while also consuming an average of <5% logic for 5G Radio filters | Intel® Agilex™ FPGA | Communication | Derived by comparing Fmax result of Intel Agilex 014 FPGA vs. Xilinx Versal VM 1802 FPGA Core fabric among 58 unique FIR filter designs. Designs were produced using Intel® Quartus® Prime Software 21.2, Xilinx's Vivado 2021.1. Intel's DSPBA 21.2, Xilinx's Model Composer 2021.1. MATLAB R2020B 64 bit. | On geomean, designs running in the lowest speed grade of Intel Agilex 014 FPGAs achieve a 15-20% faster Fmax than their lowest speed grade Xilinx Versal VM 1802 counterpart and a 5% less logic footprint when comparing 58 unique FIR filter configurations. Filter design's target Fmax is 614.4, design variables are: Number of Channels (1,2,4,8,16), Filter Sample Rate (15.36,7.68,30.72 [MHz]), Filter Tap Count (87,107,35), Co_efficient (Constant, Programmable). Variables were swept for each unique configuration. | Oct 29, 2021 |
| Intel® Agilex™ FPGAs on average are faster in Fmax than competing 7nm FPGAs by 20% in 5G Radio core functions. | Intel® Agilex™ FPGA | Communication | Derived when comparing Fmax result of Intel Agilex 014 FPGA vs Xilinx Versal VM 1802 FPGA 5G radio unit functions; FFT & CP -, IFFT & CP+, DDC, DUC & CFR, PRACH. Designs were produced using Intel® Quartus® Prime Software 21.3, Xilinx's Vivado 2021.1. Intel's DSPBA 21.3, Xilinx's Model Composer 2021.1. MATLAB R2020B 64 bit. | With 5G radio unit functions; FFT & CP -, IFFT & CP+, DDC, DUC & CFR, PRACH, on average Intel Agilex preforms 20% faster in Fmax. Designs running in the lowest speed grade of Intel Agilex 014 FPGA and Xilinx's Versal VM 1802 FPGA. Designs only in core FPGA Fabric. | Nov 9, 2021 |