ASUS System Product Name
Geekbench ML Score
21358
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 21 2025 05:38 AM |
| Views | 8 |
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% |
12267
2.30 KIPS |
|
|
Image Classification (F16)
|
100% |
12217
2.29 KIPS |
|
|
Image Classification (I8)
|
100% |
10028
1.88 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13895
232.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
14134
236.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
12352
206.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
235208
284.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
229209
277.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
214386
259.6 IPS |
|
|
Object Detection (F32)
|
100% |
5682
424.2 IPS |
|
|
Object Detection (F16)
|
100% |
5463
407.8 IPS |
|
|
Object Detection (I8)
|
56% |
4632
345.8 IPS |
|
|
Face Detection (F32)
|
100% |
40115
477.0 IPS |
|
|
Face Detection (F16)
|
100% |
39918
474.6 IPS |
|
|
Face Detection (I8)
|
88% |
33434
397.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
64151
497.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
65242
505.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
50400
390.9 IPS |
|
|
Style Transfer (F32)
|
100% |
231102
304.0 IPS |
|
|
Style Transfer (F16)
|
100% |
230497
303.2 IPS |
|
|
Style Transfer (I8)
|
98% |
215554
283.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23060
823.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22927
818.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18023
643.7 IPS |
|
|
Text Classification (F32)
|
100% |
3553
5.11 KIPS |
|
|
Text Classification (F16)
|
100% |
3590
5.16 KIPS |
|
|
Text Classification (I8)
|
98% |
2019
2.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
4166
76.7 IPS |
|
|
Machine Translation (F16)
|
100% |
4118
75.8 IPS |
|
|
Machine Translation (I8)
|
70% |
2331
42.9 IPS |
