ASUS System Product Name
Geekbench ML Score
20822
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 06:57 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% |
10240
1.92 KIPS |
|
|
Image Classification (F16)
|
100% |
10706
2.00 KIPS |
|
|
Image Classification (I8)
|
100% |
9043
1.69 KIPS |
|
|
Image Segmentation (F32)
|
100% |
12152
202.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
12982
216.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
12688
211.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
225116
272.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
233519
282.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
211254
255.8 IPS |
|
|
Object Detection (F32)
|
100% |
5691
424.8 IPS |
|
|
Object Detection (F16)
|
100% |
5506
411.1 IPS |
|
|
Object Detection (I8)
|
56% |
4884
364.6 IPS |
|
|
Face Detection (F32)
|
100% |
39703
472.1 IPS |
|
|
Face Detection (F16)
|
100% |
39039
464.2 IPS |
|
|
Face Detection (I8)
|
88% |
33476
398.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
64607
501.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
64885
503.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
51503
399.4 IPS |
|
|
Style Transfer (F32)
|
100% |
236914
311.6 IPS |
|
|
Style Transfer (F16)
|
100% |
227737
299.6 IPS |
|
|
Style Transfer (I8)
|
98% |
210020
276.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23086
824.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22954
819.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17211
614.7 IPS |
|
|
Text Classification (F32)
|
100% |
3419
4.91 KIPS |
|
|
Text Classification (F16)
|
100% |
3461
4.97 KIPS |
|
|
Text Classification (I8)
|
98% |
1909
2.74 KIPS |
|
|
Machine Translation (F32)
|
100% |
4162
76.6 IPS |
|
|
Machine Translation (F16)
|
100% |
4178
76.9 IPS |
|
|
Machine Translation (I8)
|
70% |
2347
43.2 IPS |
