ASUS System Product Name
Geekbench ML Score
21080
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 01 2025 06:02 AM |
| Views | 6 |
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% |
12298
2.30 KIPS |
|
|
Image Classification (F16)
|
100% |
12246
2.29 KIPS |
|
|
Image Classification (I8)
|
100% |
9919
1.86 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13699
228.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
14120
235.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
9866
164.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
247243
299.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
234827
284.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
218129
264.1 IPS |
|
|
Object Detection (F32)
|
100% |
5106
381.2 IPS |
|
|
Object Detection (F16)
|
100% |
5545
414.0 IPS |
|
|
Object Detection (I8)
|
56% |
4885
364.7 IPS |
|
|
Face Detection (F32)
|
100% |
39571
470.5 IPS |
|
|
Face Detection (F16)
|
100% |
40177
477.7 IPS |
|
|
Face Detection (I8)
|
88% |
33094
393.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
63295
490.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
65258
506.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
51101
396.3 IPS |
|
|
Style Transfer (F32)
|
100% |
217842
286.6 IPS |
|
|
Style Transfer (F16)
|
100% |
222030
292.1 IPS |
|
|
Style Transfer (I8)
|
98% |
208151
273.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23610
843.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24734
883.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17525
625.9 IPS |
|
|
Text Classification (F32)
|
100% |
3455
4.96 KIPS |
|
|
Text Classification (F16)
|
100% |
3506
5.04 KIPS |
|
|
Text Classification (I8)
|
98% |
1948
2.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
4178
76.9 IPS |
|
|
Machine Translation (F16)
|
100% |
4086
75.2 IPS |
|
|
Machine Translation (I8)
|
70% |
2262
41.6 IPS |
