ASUS System Product Name
Geekbench ML Score
21144
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 25 2025 04:41 AM |
| Views | 4 |
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% |
12167
2.28 KIPS |
|
|
Image Classification (F16)
|
100% |
12230
2.29 KIPS |
|
|
Image Classification (I8)
|
100% |
9826
1.84 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14119
235.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
13725
229.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
12892
215.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
227579
275.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
236983
287.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
212079
256.8 IPS |
|
|
Object Detection (F32)
|
100% |
5348
399.2 IPS |
|
|
Object Detection (F16)
|
100% |
5484
409.4 IPS |
|
|
Object Detection (I8)
|
56% |
4786
357.3 IPS |
|
|
Face Detection (F32)
|
100% |
39077
464.6 IPS |
|
|
Face Detection (F16)
|
100% |
39116
465.1 IPS |
|
|
Face Detection (I8)
|
88% |
33445
397.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
65058
504.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
62733
486.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
51918
402.6 IPS |
|
|
Style Transfer (F32)
|
100% |
225043
296.0 IPS |
|
|
Style Transfer (F16)
|
100% |
228965
301.2 IPS |
|
|
Style Transfer (I8)
|
98% |
211097
277.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23536
840.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23136
826.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17811
636.1 IPS |
|
|
Text Classification (F32)
|
100% |
3479
5.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3480
5.00 KIPS |
|
|
Text Classification (I8)
|
98% |
1945
2.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
3986
73.4 IPS |
|
|
Machine Translation (F16)
|
100% |
4035
74.3 IPS |
|
|
Machine Translation (I8)
|
70% |
2246
41.3 IPS |
