ASUS System Product Name
Geekbench ML Score
21213
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 11 2025 05:10 AM |
| Views | 6 |
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% |
12022
2.25 KIPS |
|
|
Image Classification (F16)
|
100% |
11857
2.22 KIPS |
|
|
Image Classification (I8)
|
100% |
9733
1.82 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14020
234.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
13886
231.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
12607
210.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
238462
288.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
240035
290.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
212488
257.3 IPS |
|
|
Object Detection (F32)
|
100% |
5352
399.6 IPS |
|
|
Object Detection (F16)
|
100% |
5249
391.9 IPS |
|
|
Object Detection (I8)
|
56% |
4526
337.9 IPS |
|
|
Face Detection (F32)
|
100% |
40542
482.1 IPS |
|
|
Face Detection (F16)
|
100% |
40659
483.4 IPS |
|
|
Face Detection (I8)
|
88% |
33921
403.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
64371
499.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
64743
502.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
52065
403.8 IPS |
|
|
Style Transfer (F32)
|
100% |
230693
303.5 IPS |
|
|
Style Transfer (F16)
|
100% |
237521
312.4 IPS |
|
|
Style Transfer (I8)
|
98% |
206757
272.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22743
812.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22883
817.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18248
651.7 IPS |
|
|
Text Classification (F32)
|
100% |
3413
4.90 KIPS |
|
|
Text Classification (F16)
|
100% |
3395
4.88 KIPS |
|
|
Text Classification (I8)
|
98% |
1906
2.74 KIPS |
|
|
Machine Translation (F32)
|
100% |
4197
77.2 IPS |
|
|
Machine Translation (F16)
|
100% |
4196
77.2 IPS |
|
|
Machine Translation (I8)
|
70% |
2352
43.3 IPS |
