ASUS System Product Name
Geekbench ML Score
21516
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 05 2025 04:34 AM |
| Views | 10 |
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% |
12088
2.26 KIPS |
|
|
Image Classification (F16)
|
100% |
12004
2.25 KIPS |
|
|
Image Classification (I8)
|
100% |
9568
1.79 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14062
234.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
13449
224.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
12787
213.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
235759
285.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
237365
287.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
211530
256.2 IPS |
|
|
Object Detection (F32)
|
100% |
5736
428.2 IPS |
|
|
Object Detection (F16)
|
100% |
5725
427.4 IPS |
|
|
Object Detection (I8)
|
56% |
6565
490.1 IPS |
|
|
Face Detection (F32)
|
100% |
40430
480.7 IPS |
|
|
Face Detection (F16)
|
100% |
39886
474.3 IPS |
|
|
Face Detection (I8)
|
88% |
34046
404.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
65228
505.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
65411
507.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
51620
400.3 IPS |
|
|
Style Transfer (F32)
|
100% |
228898
301.1 IPS |
|
|
Style Transfer (F16)
|
100% |
230847
303.7 IPS |
|
|
Style Transfer (I8)
|
98% |
208100
273.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24207
864.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22279
795.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17633
629.7 IPS |
|
|
Text Classification (F32)
|
100% |
3409
4.90 KIPS |
|
|
Text Classification (F16)
|
100% |
3440
4.94 KIPS |
|
|
Text Classification (I8)
|
98% |
1932
2.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
4179
76.9 IPS |
|
|
Machine Translation (F16)
|
100% |
4130
76.0 IPS |
|
|
Machine Translation (I8)
|
70% |
2271
41.8 IPS |
