ASUS System Product Name
Geekbench ML Score
21119
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 11 2025 05:11 AM |
| Views | 7 |
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% |
12176
2.28 KIPS |
|
|
Image Classification (F16)
|
100% |
12207
2.28 KIPS |
|
|
Image Classification (I8)
|
100% |
9909
1.85 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13764
229.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
13156
219.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
12632
211.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
234101
283.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
232873
282.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
221013
267.6 IPS |
|
|
Object Detection (F32)
|
100% |
5348
399.3 IPS |
|
|
Object Detection (F16)
|
100% |
4744
354.2 IPS |
|
|
Object Detection (I8)
|
56% |
4651
347.2 IPS |
|
|
Face Detection (F32)
|
100% |
39562
470.4 IPS |
|
|
Face Detection (F16)
|
100% |
39975
475.3 IPS |
|
|
Face Detection (I8)
|
88% |
33964
403.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
64827
502.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
63895
495.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
52248
405.2 IPS |
|
|
Style Transfer (F32)
|
100% |
228917
301.1 IPS |
|
|
Style Transfer (F16)
|
100% |
226761
298.3 IPS |
|
|
Style Transfer (I8)
|
98% |
204240
268.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24315
868.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23205
828.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17840
637.1 IPS |
|
|
Text Classification (F32)
|
100% |
3490
5.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3401
4.89 KIPS |
|
|
Text Classification (I8)
|
98% |
1939
2.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
4138
76.1 IPS |
|
|
Machine Translation (F16)
|
100% |
4183
77.0 IPS |
|
|
Machine Translation (I8)
|
70% |
2323
42.8 IPS |
