ASUS System Product Name
Geekbench ML Score
21110
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 16 2025 04:43 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% |
12110
2.27 KIPS |
|
|
Image Classification (F16)
|
100% |
12712
2.38 KIPS |
|
|
Image Classification (I8)
|
100% |
9789
1.83 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13412
224.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
13393
223.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
12455
208.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
236725
286.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
234633
284.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
212319
257.1 IPS |
|
|
Object Detection (F32)
|
100% |
5294
395.2 IPS |
|
|
Object Detection (F16)
|
100% |
4619
344.8 IPS |
|
|
Object Detection (I8)
|
56% |
4813
359.3 IPS |
|
|
Face Detection (F32)
|
100% |
40235
478.4 IPS |
|
|
Face Detection (F16)
|
100% |
40514
481.7 IPS |
|
|
Face Detection (I8)
|
88% |
32946
391.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
64791
502.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
67705
525.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
51105
396.3 IPS |
|
|
Style Transfer (F32)
|
100% |
217223
285.7 IPS |
|
|
Style Transfer (F16)
|
100% |
224008
294.7 IPS |
|
|
Style Transfer (I8)
|
98% |
211648
278.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23767
848.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23004
821.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17966
641.6 IPS |
|
|
Text Classification (F32)
|
100% |
3510
5.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3504
5.04 KIPS |
|
|
Text Classification (I8)
|
98% |
1951
2.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
4179
76.9 IPS |
|
|
Machine Translation (F16)
|
100% |
4194
77.2 IPS |
|
|
Machine Translation (I8)
|
70% |
2267
41.7 IPS |
