ASUS System Product Name
Geekbench ML Score
21385
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 07 2025 05:25 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% |
11870
2.22 KIPS |
|
|
Image Classification (F16)
|
100% |
12051
2.26 KIPS |
|
|
Image Classification (I8)
|
100% |
9772
1.83 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14070
235.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
13855
231.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
12904
215.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
233843
283.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
246601
298.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
207173
250.9 IPS |
|
|
Object Detection (F32)
|
100% |
5324
397.5 IPS |
|
|
Object Detection (F16)
|
100% |
5512
411.5 IPS |
|
|
Object Detection (I8)
|
56% |
4969
371.0 IPS |
|
|
Face Detection (F32)
|
100% |
39198
466.1 IPS |
|
|
Face Detection (F16)
|
100% |
39670
471.7 IPS |
|
|
Face Detection (I8)
|
88% |
33311
396.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
63966
496.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
63292
490.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
49493
383.8 IPS |
|
|
Style Transfer (F32)
|
100% |
227972
299.9 IPS |
|
|
Style Transfer (F16)
|
100% |
232551
305.9 IPS |
|
|
Style Transfer (I8)
|
98% |
216249
284.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24249
866.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24585
878.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18167
648.8 IPS |
|
|
Text Classification (F32)
|
100% |
3440
4.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3615
5.20 KIPS |
|
|
Text Classification (I8)
|
98% |
2005
2.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
4162
76.6 IPS |
|
|
Machine Translation (F16)
|
100% |
4171
76.8 IPS |
|
|
Machine Translation (I8)
|
70% |
2345
43.1 IPS |
