Tests for a future article. 2 x AMD EPYC 9684X 96-Core testing with a AMD Titanite_4G (RTI1007B BIOS) and ASPEED on Ubuntu 23.10 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 2402188-NE-9684XNE0007
9684x-ne
Tests for a future article. 2 x AMD EPYC 9684X 96-Core testing with a AMD Titanite_4G (RTI1007B BIOS) and ASPEED on Ubuntu 23.10 via the Phoronix Test Suite.
a:
Processor: 2 x AMD EPYC 9684X 96-Core @ 2.55GHz (192 Cores / 384 Threads), Motherboard: AMD Titanite_4G (RTI1007B BIOS), Chipset: AMD Device 14a4, Memory: 1520GB, Disk: 3201GB Micron_7450_MTFDKCB3T2TFS, Graphics: ASPEED, Network: Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 23.10, Kernel: 6.6.0-060600-generic (x86_64), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 800x600
b:
Processor: 2 x AMD EPYC 9684X 96-Core @ 2.55GHz (192 Cores / 384 Threads), Motherboard: AMD Titanite_4G (RTI1007B BIOS), Chipset: AMD Device 14a4, Memory: 1520GB, Disk: 3201GB Micron_7450_MTFDKCB3T2TFS, Graphics: ASPEED, Network: Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 23.10, Kernel: 6.6.0-060600-generic (x86_64), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 800x600
c:
Processor: 2 x AMD EPYC 9684X 96-Core @ 2.55GHz (192 Cores / 384 Threads), Motherboard: AMD Titanite_4G (RTI1007B BIOS), Chipset: AMD Device 14a4, Memory: 1520GB, Disk: 3201GB Micron_7450_MTFDKCB3T2TFS, Graphics: ASPEED, Network: Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 23.10, Kernel: 6.6.0-060600-generic (x86_64), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 800x600
NAMD 3.0b6
Input: STMV with 1,066,628 Atoms
ns/day > Higher Is Better
a . 6.36963 |=================================================================
b . 6.49427 |==================================================================
c . 6.47040 |==================================================================
NAMD 3.0b6
Input: ATPase with 327,506 Atoms
ns/day > Higher Is Better
a . 20.90 |====================================================================
b . 20.89 |====================================================================
c . 20.88 |====================================================================
ONNX Runtime 1.17
Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 1135.61 |==================================================================
b . 1135.06 |==================================================================
ONNX Runtime 1.17
Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 0.880576 |=================================================================
b . 0.881007 |=================================================================
ONNX Runtime 1.17
Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 43.66 |====================================================================
ONNX Runtime 1.17
Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 22.90 |====================================================================
ONNX Runtime 1.17
Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 22.45 |====================================================================
ONNX Runtime 1.17
Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 44.54 |====================================================================
ONNX Runtime 1.17
Model: GPT-2 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 9.02332 |==================================================================
b . 8.95470 |=================================================================
ONNX Runtime 1.17
Model: GPT-2 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 110.69 |==================================================================
b . 111.54 |===================================================================
ONNX Runtime 1.17
Model: GPT-2 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 6.25834 |==================================================
b . 8.19077 |==================================================================
c . 8.18389 |==================================================================
ONNX Runtime 1.17
Model: GPT-2 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 159.72 |===================================================================
b . 122.04 |===================================================
c . 122.15 |===================================================
ONNX Runtime 1.17
Model: bertsquad-12 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 114.57 |===================================================================
b . 114.54 |===================================================================
ONNX Runtime 1.17
Model: bertsquad-12 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 8.72812 |==================================================================
b . 8.73027 |==================================================================
ONNX Runtime 1.17
Model: yolov4 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 142.06 |===================================================================
b . 141.85 |===================================================================
c . 141.37 |===================================================================
ONNX Runtime 1.17
Model: yolov4 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 7.03904 |==================================================================
b . 7.04966 |==================================================================
c . 7.07340 |==================================================================
ONNX Runtime 1.17
Model: yolov4 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 157.21 |===================================================================
b . 156.83 |===================================================================
ONNX Runtime 1.17
Model: yolov4 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 6.36075 |==================================================================
b . 6.37602 |==================================================================
ONNX Runtime 1.17
Model: bertsquad-12 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 93.21 |====================================================================
b . 93.83 |====================================================================
c . 91.95 |===================================================================
ONNX Runtime 1.17
Model: bertsquad-12 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 10.73 |===================================================================
b . 10.66 |===================================================================
c . 10.87 |====================================================================
ONNX Runtime 1.17
Model: T5 Encoder - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 3.51487 |=================================================================
b . 3.54536 |==================================================================
ONNX Runtime 1.17
Model: T5 Encoder - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 284.32 |===================================================================
b . 281.89 |==================================================================
ONNX Runtime 1.17
Model: fcn-resnet101-11 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 197.86 |===================================================================
b . 177.01 |============================================================
c . 198.57 |===================================================================
ONNX Runtime 1.17
Model: fcn-resnet101-11 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 5.05401 |===========================================================
b . 5.64928 |==================================================================
c . 5.03581 |===========================================================
ONNX Runtime 1.17
Model: T5 Encoder - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 4.24980 |==================================================================
b . 4.20289 |=================================================================
c . 4.23992 |==================================================================
ONNX Runtime 1.17
Model: T5 Encoder - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 235.26 |==================================================================
b . 237.89 |===================================================================
c . 235.81 |==================================================================
ONNX Runtime 1.17
Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 64.19 |===================================================================
b . 64.69 |====================================================================
ONNX Runtime 1.17
Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 15.58 |====================================================================
b . 15.46 |===================================================================
ONNX Runtime 1.17
Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 42.71 |====================================================================
c . 41.62 |==================================================================
ONNX Runtime 1.17
Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 23.41 |==================================================================
c . 24.03 |====================================================================
ONNX Runtime 1.17
Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 3.01302 |===============================================================
b . 3.17604 |==================================================================
ONNX Runtime 1.17
Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 331.60 |===================================================================
b . 314.57 |================================================================
ONNX Runtime 1.17
Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 2.23695 |================================================================
b . 2.32191 |==================================================================
c . 2.08344 |===========================================================
ONNX Runtime 1.17
Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 446.93 |==============================================================
b . 430.57 |============================================================
c . 479.84 |===================================================================
ONNX Runtime 1.17
Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 9.8368 |===================================================================
ONNX Runtime 1.17
Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 101.63 |===================================================================
ONNX Runtime 1.17
Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 6.78768 |==================================================================
ONNX Runtime 1.17
Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 147.31 |===================================================================
ONNX Runtime 1.17
Model: super-resolution-10 - Device: CPU - Executor: Parallel
Inference Time Cost (ms) < Lower Is Better
a . 10.88 |====================================================================
ONNX Runtime 1.17
Model: super-resolution-10 - Device: CPU - Executor: Parallel
Inferences Per Second > Higher Is Better
a . 91.86 |====================================================================
ONNX Runtime 1.17
Model: super-resolution-10 - Device: CPU - Executor: Standard
Inference Time Cost (ms) < Lower Is Better
a . 10.27 |====================================================================
ONNX Runtime 1.17
Model: super-resolution-10 - Device: CPU - Executor: Standard
Inferences Per Second > Higher Is Better
a . 97.38 |====================================================================
GROMACS 2024
Implementation: MPI CPU - Input: water_GMX50_bare
Ns Per Day > Higher Is Better
a . 24.06 |====================================================================
b . 24.16 |====================================================================
c . 24.07 |====================================================================
Intel Open Image Denoise 2.2
Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only
Images / Sec > Higher Is Better
a . 1.68 |=====================================================================
b . 1.65 |====================================================================
c . 1.67 |=====================================================================
Intel Open Image Denoise 2.2
Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only
Images / Sec > Higher Is Better
a . 3.49 |=====================================================================
b . 3.49 |=====================================================================
c . 3.49 |=====================================================================
Intel Open Image Denoise 2.2
Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only
Images / Sec > Higher Is Better
a . 3.49 |=====================================================================
b . 3.49 |=====================================================================
c . 3.49 |=====================================================================