ASUS System Product Name
Geekbench ML Score
21264
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 08:29 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% |
12372
2.32 KIPS |
|
|
Image Classification (F16)
|
100% |
12399
2.32 KIPS |
|
|
Image Classification (I8)
|
100% |
9769
1.83 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14216
237.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
13865
231.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
12682
211.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
221173
267.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
232683
281.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
228904
277.2 IPS |
|
|
Object Detection (F32)
|
100% |
5389
402.3 IPS |
|
|
Object Detection (F16)
|
100% |
5217
389.5 IPS |
|
|
Object Detection (I8)
|
56% |
4696
350.6 IPS |
|
|
Face Detection (F32)
|
100% |
40573
482.4 IPS |
|
|
Face Detection (F16)
|
100% |
40483
481.3 IPS |
|
|
Face Detection (I8)
|
88% |
33789
401.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
67200
521.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
64810
502.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
51407
398.7 IPS |
|
|
Style Transfer (F32)
|
100% |
229407
301.8 IPS |
|
|
Style Transfer (F16)
|
100% |
220202
289.7 IPS |
|
|
Style Transfer (I8)
|
98% |
205614
270.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22611
807.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23021
822.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17896
639.1 IPS |
|
|
Text Classification (F32)
|
100% |
3528
5.07 KIPS |
|
|
Text Classification (F16)
|
100% |
3479
5.00 KIPS |
|
|
Text Classification (I8)
|
98% |
1954
2.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
4188
77.1 IPS |
|
|
Machine Translation (F16)
|
100% |
4101
75.5 IPS |
|
|
Machine Translation (I8)
|
70% |
2340
43.1 IPS |
