7713 2P

Tests for a future article. 2 x AMD EPYC 7303 16-Core testing with a AMD DAYTONA_X (RYM1009B BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2310231-NE-77132P99738
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

CPU Massive 4 Tests
Creator Workloads 7 Tests
Game Development 3 Tests
HPC - High Performance Computing 3 Tests
Machine Learning 2 Tests
Multi-Core 9 Tests
Intel oneAPI 5 Tests
OpenMPI Tests 3 Tests
Server CPU Tests 4 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Disable Color Branding
Prefer Vertical Bar Graphs

Additional Graphs

Show Perf Per Core/Thread Calculation Graphs Where Applicable
Show Perf Per Clock Calculation Graphs Where Applicable

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
a
October 03 2023
  50 Minutes
b
October 03 2023
  50 Minutes
c
October 03 2023
  50 Minutes
AMD EPYC 7303 16-Core
October 08 2023
  1 Hour, 37 Minutes
d
October 18 2023
  2 Hours, 29 Minutes
e
October 23 2023
  1 Hour, 53 Minutes
f
October 23 2023
  1 Hour, 53 Minutes
g
October 23 2023
  1 Hour, 53 Minutes
Invert Hiding All Results Option
  1 Hour, 32 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

7713 2P Tests for a future article. 2 x AMD EPYC 7303 16-Core testing with a AMD DAYTONA_X (RYM1009B BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite. a: Processor: 2 x AMD EPYC 7713 64-Core @ 2.00GHz (128 Cores / 256 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 256GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710 OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 b: Processor: 2 x AMD EPYC 7713 64-Core @ 2.00GHz (128 Cores / 256 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 256GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710 OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 c: Processor: 2 x AMD EPYC 7713 64-Core @ 2.00GHz (128 Cores / 256 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 256GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710 OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 AMD EPYC 7303 16-Core: Processor: AMD EPYC 7303 16-Core @ 2.40GHz (16 Cores / 32 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 256GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Monitor: VE228, Network: 2 x Mellanox MT27710 OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1080 d: Processor: 2 x AMD EPYC 7203 8-Core @ 2.80GHz (16 Cores / 32 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 512GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Network: 2 x Mellanox MT27710 OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1024x768 e: Processor: 2 x AMD EPYC 7303 16-Core @ 2.40GHz (32 Cores / 64 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 512GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Network: 2 x Mellanox MT27710 OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1024x768 f: Processor: 2 x AMD EPYC 7303 16-Core @ 2.40GHz (32 Cores / 64 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 512GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Network: 2 x Mellanox MT27710 OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1024x768 g: Processor: 2 x AMD EPYC 7303 16-Core @ 2.40GHz (32 Cores / 64 Threads), Motherboard: AMD DAYTONA_X (RYM1009B BIOS), Chipset: AMD Starship/Matisse, Memory: 512GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: ASPEED, Network: 2 x Mellanox MT27710 OS: Ubuntu 22.04, Kernel: 5.15.0-47-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3, Vulkan: 1.2.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1024x768 OpenVINO 2023.1 Model: Face Detection Retail FP16-INT8 - Device: CPU FPS > Higher Is Better a ..................... 9543.23 |============================================== b ..................... 9544.95 |============================================== c ..................... 9527.76 |============================================== AMD EPYC 7303 16-Core . 1754.67 |======== d ..................... 1232.95 |====== e ..................... 3153.90 |=============== f ..................... 3148.82 |=============== g ..................... 3148.97 |=============== OpenVINO 2023.1 Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better a ..................... 2687.19 |============================================== b ..................... 2655.09 |============================================= c ..................... 2694.27 |============================================== AMD EPYC 7303 16-Core . 520.89 |========= d ..................... 369.70 |====== e ..................... 873.34 |=============== f ..................... 865.28 |=============== g ..................... 875.64 |=============== OpenVINO 2023.1 Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a ..................... 3308.28 |============================================== b ..................... 3302.83 |============================================== c ..................... 3303.59 |============================================== AMD EPYC 7303 16-Core . 570.58 |======== d ..................... 470.46 |======= e ..................... 1096.25 |=============== f ..................... 1095.27 |=============== g ..................... 1095.68 |=============== OpenVINO 2023.1 Model: Road Segmentation ADAS FP16-INT8 - Device: CPU FPS > Higher Is Better a ..................... 1342.68 |============================================== b ..................... 1340.29 |============================================== c ..................... 1340.12 |============================================== AMD EPYC 7303 16-Core . 237.79 |======== d ..................... 195.50 |======= e ..................... 415.32 |============== f ..................... 415.12 |============== g ..................... 415.15 |============== Blender 3.6 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better a ..................... 153.78 |======= b ..................... 152.94 |======= c ..................... 152.50 |======= AMD EPYC 7303 16-Core . 871.17 |========================================== d ..................... 974.94 |=============================================== e ..................... 505.43 |======================== f ..................... 504.18 |======================== g ..................... 506.55 |======================== 7-Zip Compression 22.01 Test: Decompression Rating MIPS > Higher Is Better a ..................... 643823 |============================================= b ..................... 647995 |============================================= c ..................... 678765 |=============================================== AMD EPYC 7303 16-Core . 116102 |======== d ..................... 106826 |======= e ..................... 214511 |=============== f ..................... 216258 |=============== g ..................... 218417 |=============== OpenVINO 2023.1 Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a ..................... 5333.24 |============================================== b ..................... 5334.87 |============================================== c ..................... 5335.15 |============================================== AMD EPYC 7303 16-Core . 858.21 |======= d ..................... 856.63 |======= e ..................... 1727.34 |=============== f ..................... 1708.45 |=============== g ..................... 1725.37 |=============== OpenVINO 2023.1 Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better a ..................... 51.12 |================================================ b ..................... 51.17 |================================================ c ..................... 51.20 |================================================ AMD EPYC 7303 16-Core . 8.66 |======== d ..................... 8.35 |======== e ..................... 17.20 |================ f ..................... 17.27 |================ g ..................... 17.28 |================ Blender 3.6 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better a ..................... 49.66 |======== b ..................... 49.32 |======== c ..................... 48.96 |======== AMD EPYC 7303 16-Core . 280.03 |============================================ d ..................... 296.74 |=============================================== e ..................... 155.52 |========================= f ..................... 157.08 |========================= g ..................... 157.59 |========================= Blender 3.6 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better a ..................... 40.28 |======== b ..................... 40.21 |======== c ..................... 40.04 |======== AMD EPYC 7303 16-Core . 226.06 |============================================= d ..................... 237.87 |=============================================== e ..................... 116.68 |======================= f ..................... 117.05 |======================= g ..................... 118.34 |======================= Blender 3.6 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better a ..................... 16.08 |======== b ..................... 16.08 |======== c ..................... 16.19 |======== AMD EPYC 7303 16-Core . 89.45 |============================================= d ..................... 94.86 |================================================ e ..................... 50.21 |========================= f ..................... 50.25 |========================= g ..................... 50.09 |========================= OpenVINO 2023.1 Model: Handwritten English Recognition FP16-INT8 - Device: CPU FPS > Higher Is Better a ..................... 899.15 |=============================================== b ..................... 897.77 |=============================================== c ..................... 898.69 |=============================================== AMD EPYC 7303 16-Core . 155.50 |======== d ..................... 171.61 |========= e ..................... 303.80 |================ f ..................... 303.83 |================ g ..................... 303.59 |================ Blender 3.6 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better a ..................... 20.44 |======== b ..................... 20.73 |======== c ..................... 20.45 |======== AMD EPYC 7303 16-Core . 109.21 |============================================ d ..................... 116.66 |=============================================== e ..................... 62.52 |========================= f ..................... 62.18 |========================= g ..................... 62.31 |========================= OpenVINO 2023.1 Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better a ..................... 202.68 |=============================================== b ..................... 203.14 |=============================================== c ..................... 203.96 |=============================================== AMD EPYC 7303 16-Core . 42.11 |========== d ..................... 37.06 |========= e ..................... 72.71 |================= f ..................... 73.23 |================= g ..................... 72.14 |================= OpenVINO 2023.1 Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better a ..................... 226.15 |=============================================== b ..................... 226.27 |=============================================== c ..................... 222.73 |============================================== AMD EPYC 7303 16-Core . 47.46 |========== d ..................... 43.18 |========= e ..................... 85.51 |================== f ..................... 85.46 |================== g ..................... 84.86 |================== Timed Linux Kernel Compilation 6.1 Build: allmodconfig Seconds < Lower Is Better a ..................... 182.49 |========== b ..................... 179.99 |========== c ..................... 179.54 |========== AMD EPYC 7303 16-Core . 815.40 |============================================== d ..................... 830.49 |=============================================== e ..................... 462.14 |========================== f ..................... 462.60 |========================== g ..................... 462.70 |========================== 7-Zip Compression 22.01 Test: Compression Rating MIPS > Higher Is Better a ..................... 507611 |=============================================== b ..................... 505036 |=============================================== c ..................... 499347 |============================================== AMD EPYC 7303 16-Core . 135892 |============= d ..................... 113384 |========== e ..................... 210620 |==================== f ..................... 212139 |==================== g ..................... 209887 |=================== OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better a ..................... 98494.41 |========================================== b ..................... 101883.13 |============================================ c ..................... 101985.21 |============================================ AMD EPYC 7303 16-Core . 23110.20 |========== d ..................... 23725.57 |========== e ..................... 46823.73 |==================== f ..................... 45126.45 |=================== g ..................... 47926.34 |===================== Remhos 1.0 Test: Sample Remap Example Seconds < Lower Is Better a ..................... 11.28 |============== b ..................... 11.02 |============= c ..................... 11.71 |============== AMD EPYC 7303 16-Core . 37.31 |============================================= d ..................... 39.71 |================================================ e ..................... 23.46 |============================ f ..................... 23.49 |============================ g ..................... 23.72 |============================= OpenRadioss 2023.09.15 Model: INIVOL and Fluid Structure Interaction Drop Container Seconds < Lower Is Better a ..................... 132.37 |============== b ..................... 129.61 |============== c ..................... 132.80 |=============== AMD EPYC 7303 16-Core . 357.27 |======================================= d ..................... 429.22 |=============================================== e ..................... 302.03 |================================= f ..................... 305.55 |================================= g ..................... 307.24 |================================== OpenRadioss 2023.09.15 Model: Chrysler Neon 1M Seconds < Lower Is Better a ..................... 174.49 |=============== b ..................... 173.59 |=============== c ..................... 174.45 |=============== AMD EPYC 7303 16-Core . 551.24 |=============================================== d ..................... 489.75 |========================================== e ..................... 304.03 |========================== f ..................... 306.37 |========================== g ..................... 303.58 |========================== Timed Linux Kernel Compilation 6.1 Build: defconfig Seconds < Lower Is Better a ..................... 23.88 |================= b ..................... 23.97 |================= c ..................... 23.94 |================= AMD EPYC 7303 16-Core . 67.41 |=============================================== d ..................... 68.68 |================================================ e ..................... 43.41 |============================== f ..................... 43.48 |============================== g ..................... 43.32 |============================== OpenRadioss 2023.09.15 Model: Cell Phone Drop Test Seconds < Lower Is Better a ..................... 26.54 |=================== b ..................... 26.35 |=================== c ..................... 26.53 |=================== AMD EPYC 7303 16-Core . 65.55 |================================================ d ..................... 63.71 |=============================================== e ..................... 41.05 |============================== f ..................... 41.01 |============================== g ..................... 40.85 |============================== libxsmm 2-1.17-3645 M N K: 64 GFLOPS/s > Higher Is Better a ..................... 980.5 |================================================ b ..................... 923.9 |============================================= c ..................... 920.8 |============================================= AMD EPYC 7303 16-Core . 406.9 |==================== d ..................... 442.5 |====================== e ..................... 727.2 |==================================== f ..................... 737.3 |==================================== g ..................... 723.4 |=================================== Laghos 3.1 Test: Sedov Blast Wave, ube_922_hex.mesh Major Kernels Total Rate > Higher Is Better a ..................... 282.55 |=============================================== b ..................... 282.08 |=============================================== c ..................... 279.20 |============================================== AMD EPYC 7303 16-Core . 148.49 |========================= d ..................... 132.46 |====================== e ..................... 234.14 |======================================= f ..................... 233.54 |======================================= g ..................... 233.05 |======================================= OpenVINO 2023.1 Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better a ..................... 623.90 |================================ b ..................... 623.64 |================================ c ..................... 623.60 |================================ AMD EPYC 7303 16-Core . 921.14 |=============================================== d ..................... 478.92 |======================== e ..................... 463.57 |======================== f ..................... 462.78 |======================== g ..................... 462.57 |======================== libxsmm 2-1.17-3645 M N K: 32 GFLOPS/s > Higher Is Better a ..................... 540.3 |================================================ b ..................... 471.0 |========================================== c ..................... 467.3 |========================================== AMD EPYC 7303 16-Core . 273.2 |======================== d ..................... 356.5 |================================ e ..................... 484.7 |=========================================== f ..................... 482.9 |=========================================== g ..................... 470.9 |========================================== OpenVINO 2023.1 Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better a ..................... 9.66 |================================= b ..................... 9.68 |================================= c ..................... 9.67 |================================= AMD EPYC 7303 16-Core . 14.00 |================================================ d ..................... 8.49 |============================= e ..................... 7.29 |========================= f ..................... 7.29 |========================= g ..................... 7.29 |========================= OpenVKL 2.0.0 Benchmark: vklBenchmarkCPU Scalar Items / Sec > Higher Is Better d . 144 |===================================== e . 273 |===================================================================== f . 275 |====================================================================== g . 274 |====================================================================== Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better d . 15.87 |==================================== e . 29.98 |==================================================================== f . 30.13 |==================================================================== g . 30.03 |==================================================================== Embree 4.3 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Frames Per Second > Higher Is Better d . 13.84 |==================================== e . 26.07 |=================================================================== f . 26.27 |==================================================================== g . 26.16 |==================================================================== Embree 4.3 Binary: Pathtracer - Model: Asian Dragon Frames Per Second > Higher Is Better d . 17.48 |==================================== e . 32.97 |==================================================================== f . 33.04 |==================================================================== g . 32.97 |==================================================================== Embree 4.3 Binary: Pathtracer - Model: Crown Frames Per Second > Higher Is Better d . 16.13 |==================================== e . 30.10 |=================================================================== f . 30.34 |==================================================================== g . 30.26 |==================================================================== Embree 4.3 Binary: Pathtracer - Model: Asian Dragon Obj Frames Per Second > Higher Is Better d . 15.74 |==================================== e . 29.62 |==================================================================== f . 29.52 |==================================================================== g . 29.59 |==================================================================== OpenVKL 2.0.0 Benchmark: vklBenchmarkCPU ISPC Items / Sec > Higher Is Better d . 267 |====================================== e . 495 |====================================================================== f . 497 |====================================================================== g . 495 |====================================================================== Embree 4.3 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better d . 14.40 |===================================== e . 26.52 |==================================================================== f . 26.61 |==================================================================== g . 26.40 |=================================================================== OpenVINO 2023.1 Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better a ..................... 141.33 |======================================= b ..................... 141.24 |======================================= c ..................... 143.55 |======================================== AMD EPYC 7303 16-Core . 168.30 |=============================================== d ..................... 92.53 |========================== e ..................... 93.45 |========================== f ..................... 93.50 |========================== g ..................... 94.17 |========================== OpenVINO 2023.1 Model: Face Detection Retail FP16-INT8 - Device: CPU ms < Lower Is Better a ..................... 3.34 |==================================== b ..................... 3.34 |==================================== c ..................... 3.35 |==================================== AMD EPYC 7303 16-Core . 4.55 |================================================= d ..................... 3.24 |=================================== e ..................... 2.53 |=========================== f ..................... 2.53 |=========================== g ..................... 2.53 |=========================== libavif avifenc 1.0 Encoder Speed: 6 Seconds < Lower Is Better a ..................... 3.248 |=========================== b ..................... 3.331 |============================ c ..................... 3.309 |============================ AMD EPYC 7303 16-Core . 5.282 |============================================ d ..................... 5.771 |================================================ e ..................... 3.965 |================================= f ..................... 3.976 |================================= g ..................... 3.962 |================================= OpenVINO 2023.1 Model: Person Detection FP16 - Device: CPU ms < Lower Is Better a ..................... 157.75 |======================================= b ..................... 157.40 |======================================= c ..................... 156.74 |======================================= AMD EPYC 7303 16-Core . 189.92 |=============================================== d ..................... 107.81 |=========================== e ..................... 109.89 |=========================== f ..................... 109.16 |=========================== g ..................... 110.71 |=========================== OpenVINO 2023.1 Model: Road Segmentation ADAS FP16-INT8 - Device: CPU ms < Lower Is Better a ..................... 23.81 |================================== b ..................... 23.85 |================================== c ..................... 23.86 |================================== AMD EPYC 7303 16-Core . 33.62 |================================================ d ..................... 20.44 |============================= e ..................... 19.25 |=========================== f ..................... 19.25 |=========================== g ..................... 19.25 |=========================== Intel Open Image Denoise 2.1 Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only Images / Sec > Higher Is Better d . 0.28 |======================================== e . 0.48 |===================================================================== f . 0.48 |===================================================================== g . 0.48 |===================================================================== Intel Open Image Denoise 2.1 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better d . 0.56 |========================================= e . 0.95 |===================================================================== f . 0.95 |===================================================================== g . 0.95 |===================================================================== Intel Open Image Denoise 2.1 Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better d . 0.56 |========================================= e . 0.95 |===================================================================== f . 0.95 |===================================================================== g . 0.95 |===================================================================== OpenVINO 2023.1 Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better a ..................... 11.89 |===================================== b ..................... 12.03 |====================================== c ..................... 11.86 |===================================== AMD EPYC 7303 16-Core . 15.34 |================================================ d ..................... 10.80 |================================== e ..................... 9.13 |============================= f ..................... 9.21 |============================= g ..................... 9.11 |============================= libavif avifenc 1.0 Encoder Speed: 0 Seconds < Lower Is Better a ..................... 75.60 |============================ b ..................... 75.78 |============================ c ..................... 75.84 |============================ AMD EPYC 7303 16-Core . 120.85 |============================================= d ..................... 125.92 |=============================================== e ..................... 92.45 |=================================== f ..................... 91.91 |================================== g ..................... 92.53 |=================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better d . 1.92811 |================================================================== e . 1.16856 |======================================== f . 1.16545 |======================================== g . 1.17023 |======================================== OpenRadioss 2023.09.15 Model: Bird Strike on Windshield Seconds < Lower Is Better a ..................... 147.64 |============================= b ..................... 146.17 |============================= c ..................... 146.31 |============================= AMD EPYC 7303 16-Core . 202.93 |======================================== d ..................... 235.98 |=============================================== e ..................... 192.24 |====================================== f ..................... 192.62 |====================================== g ..................... 192.49 |====================================== Laghos 3.1 Test: Triple Point Problem Major Kernels Total Rate > Higher Is Better a ..................... 164.19 |========================================== b ..................... 162.65 |========================================== c ..................... 167.28 |=========================================== AMD EPYC 7303 16-Core . 132.65 |================================== d ..................... 114.18 |============================= e ..................... 182.23 |=============================================== f ..................... 181.55 |=============================================== g ..................... 180.93 |=============================================== oneDNN 3.3 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better d . 1.65090 |================================================ e . 1.44749 |========================================== f . 1.92348 |======================================================== g . 2.28469 |================================================================== oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better d . 2.67723 |================================================================== e . 1.74244 |=========================================== f . 1.69817 |========================================== g . 1.84652 |============================================== libavif avifenc 1.0 Encoder Speed: 2 Seconds < Lower Is Better a ..................... 41.42 |=============================== b ..................... 40.84 |=============================== c ..................... 42.41 |================================ AMD EPYC 7303 16-Core . 60.19 |============================================= d ..................... 64.15 |================================================ e ..................... 48.72 |==================================== f ..................... 48.84 |===================================== g ..................... 48.73 |==================================== OpenVINO 2023.1 Model: Handwritten English Recognition FP16-INT8 - Device: CPU ms < Lower Is Better a ..................... 142.22 |=============================================== b ..................... 142.42 |=============================================== c ..................... 142.29 |=============================================== AMD EPYC 7303 16-Core . 102.82 |================================== d ..................... 93.16 |=============================== e ..................... 105.22 |=================================== f ..................... 105.23 |=================================== g ..................... 105.33 |=================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better d . 4.63185 |================================================================== e . 3.14371 |============================================= f . 3.06111 |============================================ g . 3.14105 |============================================= libavif avifenc 1.0 Encoder Speed: 6, Lossless Seconds < Lower Is Better a ..................... 6.786 |=============================== b ..................... 6.881 |================================ c ..................... 6.929 |================================ AMD EPYC 7303 16-Core . 9.186 |=========================================== d ..................... 10.133 |=============================================== e ..................... 7.801 |==================================== f ..................... 7.824 |==================================== g ..................... 7.825 |==================================== oneDNN 3.3 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better d . 0.768449 |============================================ e . 1.053240 |============================================================ f . 1.143790 |================================================================= g . 1.086610 |============================================================== oneDNN 3.3 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better d . 2.34565 |================================================================== e . 1.89405 |===================================================== f . 1.77064 |================================================== g . 2.12070 |============================================================ OpenRadioss 2023.09.15 Model: Rubber O-Ring Seal Installation Seconds < Lower Is Better a ..................... 130.40 |============================================== b ..................... 134.61 |=============================================== c ..................... 131.25 |============================================== AMD EPYC 7303 16-Core . 102.80 |==================================== d ..................... 129.36 |============================================= e ..................... 118.07 |========================================= f ..................... 120.33 |========================================== g ..................... 122.81 |=========================================== OpenVINO 2023.1 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better a ..................... 0.85 |================================================ b ..................... 0.85 |================================================ c ..................... 0.86 |================================================= AMD EPYC 7303 16-Core . 0.68 |======================================= d ..................... 0.66 |====================================== e ..................... 0.67 |====================================== f ..................... 0.70 |======================================== g ..................... 0.66 |====================================== oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better d . 1451.20 |================================================================== e . 1114.67 |=================================================== f . 1139.54 |==================================================== g . 1129.54 |=================================================== oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better d . 1466.25 |================================================================== e . 1137.11 |=================================================== f . 1128.30 |=================================================== g . 1149.15 |==================================================== OpenVINO 2023.1 Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better a ..................... 23.98 |================================================ b ..................... 23.98 |================================================ c ..................... 23.97 |================================================ AMD EPYC 7303 16-Core . 18.63 |===================================== d ..................... 18.65 |===================================== e ..................... 18.46 |===================================== f ..................... 18.67 |===================================== g ..................... 18.48 |===================================== OpenRadioss 2023.09.15 Model: Bumper Beam Seconds < Lower Is Better a ..................... 115.89 |========================================= b ..................... 116.73 |========================================= c ..................... 116.30 |========================================= AMD EPYC 7303 16-Core . 118.33 |========================================= d ..................... 134.32 |=============================================== e ..................... 105.44 |===================================== f ..................... 105.68 |===================================== g ..................... 107.04 |===================================== oneDNN 3.3 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better d . 1445.86 |================================================================== e . 1161.80 |===================================================== f . 1153.45 |===================================================== g . 1145.62 |==================================================== easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 Seconds < Lower Is Better d . 3.291 |==================================================================== e . 2.831 |========================================================== f . 2.672 |======================================================= g . 2.766 |========================================================= easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 Seconds < Lower Is Better d . 65.73 |==================================================================== e . 55.34 |========================================================= f . 60.05 |============================================================== g . 56.34 |========================================================== oneDNN 3.3 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better d . 4.51333 |================================================================== e . 3.84916 |======================================================== f . 4.18974 |============================================================= g . 3.94733 |========================================================== oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better d . 3037.72 |======================================================== e . 3379.25 |=============================================================== f . 3281.24 |============================================================= g . 3556.44 |================================================================== oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better d . 3019.31 |========================================================= e . 3494.51 |================================================================== f . 3341.93 |=============================================================== g . 3451.09 |================================================================= easyWave r34 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 Seconds < Lower Is Better d . 149.20 |=================================================================== e . 140.30 |=============================================================== f . 130.45 |=========================================================== g . 133.18 |============================================================ oneDNN 3.3 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better d . 3028.36 |========================================================== e . 3216.13 |============================================================= f . 3462.90 |================================================================== g . 3272.36 |============================================================== libavif avifenc 1.0 Encoder Speed: 10, Lossless Seconds < Lower Is Better a ..................... 5.474 |========================================== b ..................... 5.485 |=========================================== c ..................... 5.535 |=========================================== AMD EPYC 7303 16-Core . 5.779 |============================================= d ..................... 6.186 |================================================ e ..................... 5.855 |============================================= f ..................... 5.817 |============================================= g ..................... 5.815 |============================================= oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better d . 4.27338 |================================================================== e . 4.10412 |=============================================================== f . 3.83995 |=========================================================== g . 4.05768 |=============================================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better d . 5.54136 |================================================================= e . 5.67018 |================================================================== f . 5.66435 |================================================================== g . 5.63319 |================================================================== oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better d . 1.94173 |================================================================== e . 1.93352 |================================================================= f . 1.95220 |================================================================== g . 1.95024 |================================================================== oneDNN 3.3 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.3 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.3 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.3 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.3 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better