ASUS System Product Name
Geekbench ML Score
17205
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 09 2025 08:57 AM |
| Views | 5 |
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 9060 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
9550
1.79 KIPS |
|
|
Image Classification (F16)
|
100% |
9478
1.77 KIPS |
|
|
Image Classification (I8)
|
100% |
8336
1.56 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9019
150.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
8966
149.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
8619
143.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
121095
146.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
120175
145.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
106193
128.6 IPS |
|
|
Object Detection (F32)
|
100% |
5450
406.9 IPS |
|
|
Object Detection (F16)
|
100% |
5175
386.3 IPS |
|
|
Object Detection (I8)
|
62% |
4830
360.6 IPS |
|
|
Face Detection (F32)
|
100% |
23815
283.2 IPS |
|
|
Face Detection (F16)
|
100% |
23701
281.8 IPS |
|
|
Face Detection (I8)
|
89% |
19231
228.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
50228
389.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
49906
387.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
41468
321.6 IPS |
|
|
Style Transfer (F32)
|
100% |
189864
249.8 IPS |
|
|
Style Transfer (F16)
|
100% |
196757
258.8 IPS |
|
|
Style Transfer (I8)
|
98% |
167234
220.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
28349
1.01 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
28671
1.02 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
21246
758.8 IPS |
|
|
Text Classification (F32)
|
100% |
3286
4.72 KIPS |
|
|
Text Classification (F16)
|
100% |
3236
4.65 KIPS |
|
|
Text Classification (I8)
|
98% |
1904
2.74 KIPS |
|
|
Machine Translation (F32)
|
100% |
4183
77.0 IPS |
|
|
Machine Translation (F16)
|
100% |
4149
76.4 IPS |
|
|
Machine Translation (I8)
|
70% |
2482
45.7 IPS |
