ASUS System Product Name
Geekbench ML Score
21152
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 25 2025 05:40 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% |
11845
2.22 KIPS |
|
|
Image Classification (F16)
|
100% |
11497
2.15 KIPS |
|
|
Image Classification (I8)
|
100% |
9534
1.78 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13912
232.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
13937
232.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
12897
215.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
231893
280.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
236841
286.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
218244
264.3 IPS |
|
|
Object Detection (F32)
|
100% |
5367
400.7 IPS |
|
|
Object Detection (F16)
|
100% |
5067
378.2 IPS |
|
|
Object Detection (I8)
|
56% |
4698
350.7 IPS |
|
|
Face Detection (F32)
|
100% |
40224
478.3 IPS |
|
|
Face Detection (F16)
|
100% |
39736
472.5 IPS |
|
|
Face Detection (I8)
|
88% |
33567
399.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
64518
500.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
67137
520.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
52853
409.9 IPS |
|
|
Style Transfer (F32)
|
100% |
221683
291.6 IPS |
|
|
Style Transfer (F16)
|
100% |
230071
302.6 IPS |
|
|
Style Transfer (I8)
|
98% |
204541
269.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22877
817.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23627
843.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18589
663.9 IPS |
|
|
Text Classification (F32)
|
100% |
3461
4.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3483
5.01 KIPS |
|
|
Text Classification (I8)
|
98% |
1887
2.71 KIPS |
|
|
Machine Translation (F32)
|
100% |
4166
76.7 IPS |
|
|
Machine Translation (F16)
|
100% |
4193
77.2 IPS |
|
|
Machine Translation (I8)
|
70% |
2267
41.7 IPS |
