Intel Xeon Silver 4216 testing with a TYAN S7100AG2NR (V4.02 BIOS) and ASPEED on Debian 12 via the Phoronix Test Suite.
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Intel Xeon Silver 4216 testing with a TYAN S7100AG2NR (V4.02 BIOS) and ASPEED on Debian 12 via the Phoronix Test Suite.
a:
Processor: Intel Xeon Silver 4216 @ 3.20GHz (16 Cores / 32 Threads), Motherboard: TYAN S7100AG2NR (V4.02 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 46GB, Disk: 240GB Corsair Force MP500, Graphics: ASPEED, Audio: Realtek ALC892, Network: 2 x Intel I350
OS: Debian 12, Kernel: 6.1.0-11-amd64 (x86_64), Display Server: X Server, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1024x768
b:
Processor: Intel Xeon Silver 4216 @ 3.20GHz (16 Cores / 32 Threads), Motherboard: TYAN S7100AG2NR (V4.02 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 46GB, Disk: 240GB Corsair Force MP500, Graphics: ASPEED, Audio: Realtek ALC892, Network: 2 x Intel I350
OS: Debian 12, Kernel: 6.1.0-11-amd64 (x86_64), Display Server: X Server, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1024x768
oneDNN 3.3
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 2.59994 |==================================================================
b . 1.38733 |===================================
oneDNN 3.3
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 1797.93 |=========================================================
b . 2094.22 |==================================================================
oneDNN 3.3
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 4007.84 |==================================================================
b . 3545.80 |==========================================================
easyWave r34
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240
Seconds < Lower Is Better
a . 7.976 |====================================================================
b . 7.159 |=============================================================
oneDNN 3.3
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 1.28255 |==================================================================
b . 1.17212 |============================================================
oneDNN 3.3
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 10.58 |===============================================================
b . 11.44 |====================================================================
oneDNN 3.3
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 23.78 |====================================================================
b . 22.27 |================================================================
oneDNN 3.3
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 1.54511 |==================================================================
b . 1.46367 |===============================================================
oneDNN 3.3
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 3614.70 |==================================================================
b . 3495.73 |================================================================
libavif avifenc 1.0
Encoder Speed: 6
Seconds < Lower Is Better
a . 7.867 |==================================================================
b . 8.129 |====================================================================
Intel Open Image Denoise 2.1
Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only
Images / Sec > Higher Is Better
a . 0.32 |===================================================================
b . 0.33 |=====================================================================
easyWave r34
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200
Seconds < Lower Is Better
a . 157.06 |=================================================================
b . 161.84 |===================================================================
SVT-AV1 1.7
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 181.54 |===================================================================
b . 177.56 |==================================================================
easyWave r34
Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400
Seconds < Lower Is Better
a . 404.94 |===================================================================
b . 396.88 |==================================================================
oneDNN 3.3
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 6.25910 |==================================================================
b . 6.14564 |=================================================================
SVT-AV1 1.7
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 5.348 |===================================================================
b . 5.442 |====================================================================
libavif avifenc 1.0
Encoder Speed: 2
Seconds < Lower Is Better
a . 90.46 |===================================================================
b . 91.59 |====================================================================
OpenRadioss 2023.09.15
Model: Rubber O-Ring Seal Installation
Seconds < Lower Is Better
a . 200.86 |===================================================================
b . 198.69 |==================================================================
OpenVINO 2023.1
Model: Face Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
a . 935.89 |===================================================================
b . 925.88 |==================================================================
OpenVKL 2.0.0
Benchmark: vklBenchmarkCPU Scalar
Items / Sec > Higher Is Better
a . 95 |=======================================================================
b . 94 |======================================================================
SVT-AV1 1.7
Encoder Mode: Preset 13 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 180.47 |==================================================================
b . 182.35 |===================================================================
QuantLib 1.32
Configuration: Single-Threaded
MFLOPS > Higher Is Better
a . 2056.3 |==================================================================
b . 2076.5 |===================================================================
OpenVINO 2023.1
Model: Person Detection FP16 - Device: CPU
ms < Lower Is Better
a . 325.69 |==================================================================
b . 328.78 |===================================================================
oneDNN 3.3
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 1824.27 |==================================================================
b . 1807.68 |=================================================================
OpenVINO 2023.1
Model: Person Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 24.51 |====================================================================
b . 24.29 |===================================================================
OpenVINO 2023.1
Model: Vehicle Detection FP16 - Device: CPU
ms < Lower Is Better
a . 46.82 |====================================================================
b . 46.41 |===================================================================
SVT-AV1 1.7
Encoder Mode: Preset 8 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 29.89 |===================================================================
b . 30.16 |====================================================================
OpenVINO 2023.1
Model: Vehicle Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 170.73 |==================================================================
b . 172.22 |===================================================================
OpenRadioss 2023.09.15
Model: Chrysler Neon 1M
Seconds < Lower Is Better
a . 871.61 |===================================================================
b . 864.38 |==================================================================
OpenRadioss 2023.09.15
Model: Bumper Beam
Seconds < Lower Is Better
a . 187.21 |==================================================================
b . 188.77 |===================================================================
Embree 4.3
Binary: Pathtracer - Model: Crown
Frames Per Second > Higher Is Better
a . 13.21 |====================================================================
b . 13.11 |===================================================================
Embree 4.3
Binary: Pathtracer - Model: Asian Dragon
Frames Per Second > Higher Is Better
a . 16.09 |====================================================================
b . 15.96 |===================================================================
SVT-AV1 1.7
Encoder Mode: Preset 12 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 73.23 |===================================================================
b . 73.80 |====================================================================
OpenVINO 2023.1
Model: Road Segmentation ADAS FP16 - Device: CPU
ms < Lower Is Better
a . 99.82 |===================================================================
b . 100.56 |===================================================================
libavif avifenc 1.0
Encoder Speed: 6, Lossless
Seconds < Lower Is Better
a . 13.27 |====================================================================
b . 13.36 |====================================================================
OpenVINO 2023.1
Model: Road Segmentation ADAS FP16 - Device: CPU
FPS > Higher Is Better
a . 80.07 |====================================================================
b . 79.50 |====================================================================
OpenVINO 2023.1
Model: Face Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
a . 8.53 |=====================================================================
b . 8.59 |=====================================================================
SVT-AV1 1.7
Encoder Mode: Preset 4 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 1.938 |====================================================================
b . 1.950 |====================================================================
OpenRadioss 2023.09.15
Model: Cell Phone Drop Test
Seconds < Lower Is Better
a . 116.59 |===================================================================
b . 115.90 |===================================================================
libavif avifenc 1.0
Encoder Speed: 0
Seconds < Lower Is Better
a . 189.70 |===================================================================
b . 188.63 |===================================================================
oneDNN 3.3
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 3.12064 |==================================================================
b . 3.10326 |==================================================================
libavif avifenc 1.0
Encoder Speed: 10, Lossless
Seconds < Lower Is Better
a . 7.667 |====================================================================
b . 7.708 |====================================================================
Embree 4.3
Binary: Pathtracer ISPC - Model: Asian Dragon
Frames Per Second > Higher Is Better
a . 13.69 |====================================================================
b . 13.62 |====================================================================
OpenVINO 2023.1
Model: Face Detection FP16 - Device: CPU
FPS > Higher Is Better
a . 2.31 |=====================================================================
b . 2.30 |=====================================================================
SVT-AV1 1.7
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
a . 44.23 |====================================================================
b . 44.41 |====================================================================
OpenVKL 2.0.0
Benchmark: vklBenchmarkCPU ISPC
Items / Sec > Higher Is Better
a . 275 |======================================================================
b . 274 |======================================================================
Embree 4.3
Binary: Pathtracer ISPC - Model: Crown
Frames Per Second > Higher Is Better
a . 9.9432 |===================================================================
b . 9.9097 |===================================================================
OpenRadioss 2023.09.15
Model: Bird Strike on Windshield
Seconds < Lower Is Better
a . 312.50 |===================================================================
b . 311.49 |===================================================================
OpenVINO 2023.1
Model: Person Detection FP32 - Device: CPU
FPS > Higher Is Better
a . 24.46 |====================================================================
b . 24.52 |====================================================================
OpenVINO 2023.1
Model: Face Detection FP16 - Device: CPU
ms < Lower Is Better
a . 3455.53 |==================================================================
b . 3462.59 |==================================================================
SVT-AV1 1.7
Encoder Mode: Preset 13 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
a . 73.36 |====================================================================
b . 73.22 |====================================================================
Embree 4.3
Binary: Pathtracer - Model: Asian Dragon Obj
Frames Per Second > Higher Is Better
a . 14.47 |====================================================================
b . 14.45 |====================================================================
OpenVINO 2023.1
Model: Face Detection Retail FP16 - Device: CPU
ms < Lower Is Better
a . 13.62 |====================================================================
b . 13.60 |====================================================================
OpenVINO 2023.1
Model: Face Detection Retail FP16 - Device: CPU
FPS > Higher Is Better
a . 586.21 |===================================================================
b . 587.05 |===================================================================
QuantLib 1.32
Configuration: Multi-Threaded
MFLOPS > Higher Is Better
a . 31381.4 |==================================================================
b . 31348.2 |==================================================================
OpenVINO 2023.1
Model: Person Detection FP32 - Device: CPU
ms < Lower Is Better
a . 326.23 |===================================================================
b . 325.91 |===================================================================
oneDNN 3.3
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 16.30 |====================================================================
b . 16.31 |====================================================================
Embree 4.3
Binary: Pathtracer ISPC - Model: Asian Dragon Obj
Frames Per Second > Higher Is Better
a . 11.76 |====================================================================
b . 11.76 |====================================================================
oneDNN 3.3
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a . 21.90 |====================================================================
b . 21.91 |====================================================================
OpenRadioss 2023.09.15
Model: INIVOL and Fluid Structure Interaction Drop Container
Seconds < Lower Is Better
a . 553.97 |===================================================================
b . 553.87 |===================================================================
oneDNN 3.3
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a . 1.90079 |==================================================================
b . 1.90069 |==================================================================
Intel Open Image Denoise 2.1
Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only
Images / Sec > Higher Is Better
a . 0.15 |=====================================================================
b . 0.15 |=====================================================================
Intel Open Image Denoise 2.1
Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only
Images / Sec > Higher Is Better
a . 0.32 |=====================================================================
b . 0.32 |=====================================================================