ASUS System Product Name
Geekbench ML Score
21185
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 28 2025 03:29 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E EXTREME |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 96.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11736
2.20 KIPS |
|
|
Image Classification (F16)
|
100% |
11713
2.19 KIPS |
|
|
Image Classification (I8)
|
100% |
9609
1.80 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13989
233.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
14047
234.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
13192
220.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
237256
287.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
234987
284.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
218227
264.3 IPS |
|
|
Object Detection (F32)
|
100% |
5359
400.1 IPS |
|
|
Object Detection (F16)
|
100% |
5247
391.7 IPS |
|
|
Object Detection (I8)
|
56% |
4672
348.8 IPS |
|
|
Face Detection (F32)
|
100% |
40044
476.1 IPS |
|
|
Face Detection (F16)
|
100% |
39742
472.5 IPS |
|
|
Face Detection (I8)
|
88% |
33444
397.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
64951
503.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
64661
501.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
51110
396.4 IPS |
|
|
Style Transfer (F32)
|
100% |
225865
297.1 IPS |
|
|
Style Transfer (F16)
|
100% |
234666
308.7 IPS |
|
|
Style Transfer (I8)
|
98% |
211498
278.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23618
843.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23540
840.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17797
635.6 IPS |
|
|
Text Classification (F32)
|
100% |
3424
4.92 KIPS |
|
|
Text Classification (F16)
|
100% |
3451
4.96 KIPS |
|
|
Text Classification (I8)
|
98% |
1892
2.72 KIPS |
|
|
Machine Translation (F32)
|
100% |
4180
76.9 IPS |
|
|
Machine Translation (F16)
|
100% |
4108
75.6 IPS |
|
|
Machine Translation (I8)
|
70% |
2268
41.7 IPS |
