ASUS System Product Name
Geekbench ML Score
20943
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 21 2025 10:49 AM |
| Views | 2 |
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% |
12067
2.26 KIPS |
|
|
Image Classification (F16)
|
100% |
12119
2.27 KIPS |
|
|
Image Classification (I8)
|
100% |
9813
1.84 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13665
228.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
13615
227.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
12632
211.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
230746
279.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
235450
285.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
211791
256.5 IPS |
|
|
Object Detection (F32)
|
100% |
5068
378.3 IPS |
|
|
Object Detection (F16)
|
100% |
5380
401.7 IPS |
|
|
Object Detection (I8)
|
56% |
4606
343.9 IPS |
|
|
Face Detection (F32)
|
100% |
39645
471.4 IPS |
|
|
Face Detection (F16)
|
100% |
40777
484.8 IPS |
|
|
Face Detection (I8)
|
88% |
32843
390.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
63981
496.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
64645
501.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
49959
387.4 IPS |
|
|
Style Transfer (F32)
|
100% |
213306
280.6 IPS |
|
|
Style Transfer (F16)
|
100% |
219367
288.6 IPS |
|
|
Style Transfer (I8)
|
98% |
203268
267.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24234
865.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23151
826.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17354
619.8 IPS |
|
|
Text Classification (F32)
|
100% |
3486
5.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3460
4.97 KIPS |
|
|
Text Classification (I8)
|
98% |
1929
2.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
4039
74.3 IPS |
|
|
Machine Translation (F16)
|
100% |
4090
75.3 IPS |
|
|
Machine Translation (I8)
|
70% |
2250
41.4 IPS |
