ASUS System Product Name
Geekbench ML Score
11505
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 15 2024 02:05 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 5975WX |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 25 Model 8 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 32 Cores |
| L1 Instruction Cache | 32.0 KB x 32 |
| L1 Data Cache | 32.0 KB x 32 |
| L2 Cache | 512 KB x 32 |
| L3 Cache | 32.0 MB x 4 |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A4000 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5936
1.11 KIPS |
|
|
Image Classification (F16)
|
100% |
5896
1.10 KIPS |
|
|
Image Classification (I8)
|
100% |
4311
806.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
7835
130.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
7784
130.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
6617
110.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
91319
110.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
88108
106.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
72075
87.3 IPS |
|
|
Object Detection (F32)
|
100% |
3877
289.5 IPS |
|
|
Object Detection (F16)
|
100% |
4110
306.8 IPS |
|
|
Object Detection (I8)
|
63% |
3618
270.1 IPS |
|
|
Face Detection (F32)
|
100% |
17940
213.3 IPS |
|
|
Face Detection (F16)
|
100% |
18094
215.1 IPS |
|
|
Face Detection (I8)
|
89% |
13327
158.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
31406
243.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
31136
241.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
22592
175.2 IPS |
|
|
Style Transfer (F32)
|
100% |
140687
185.1 IPS |
|
|
Style Transfer (F16)
|
100% |
142144
187.0 IPS |
|
|
Style Transfer (I8)
|
98% |
111070
146.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23610
843.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23054
823.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
14785
528.0 IPS |
|
|
Text Classification (F32)
|
100% |
1413
2.03 KIPS |
|
|
Text Classification (F16)
|
100% |
1434
2.06 KIPS |
|
|
Text Classification (I8)
|
98% |
901
1.30 KIPS |
|
|
Machine Translation (F32)
|
100% |
2767
50.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2725
50.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1403
25.8 IPS |
