ASUS System Product Name
Geekbench ML Score
20929
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 10 2025 05:12 AM |
| Views | 8 |
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% |
12035
2.25 KIPS |
|
|
Image Classification (F16)
|
100% |
12034
2.25 KIPS |
|
|
Image Classification (I8)
|
100% |
9921
1.86 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13609
227.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
13595
227.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
11341
189.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
224773
272.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
226046
273.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
207689
251.5 IPS |
|
|
Object Detection (F32)
|
100% |
5503
410.8 IPS |
|
|
Object Detection (F16)
|
100% |
5325
397.6 IPS |
|
|
Object Detection (I8)
|
56% |
4526
337.9 IPS |
|
|
Face Detection (F32)
|
100% |
38900
462.5 IPS |
|
|
Face Detection (F16)
|
100% |
40052
476.2 IPS |
|
|
Face Detection (I8)
|
88% |
32883
391.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
64632
501.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
65967
511.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
50715
393.3 IPS |
|
|
Style Transfer (F32)
|
100% |
216385
284.6 IPS |
|
|
Style Transfer (F16)
|
100% |
225356
296.4 IPS |
|
|
Style Transfer (I8)
|
98% |
196710
258.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24349
869.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24273
866.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17624
629.4 IPS |
|
|
Text Classification (F32)
|
100% |
3484
5.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3493
5.02 KIPS |
|
|
Text Classification (I8)
|
98% |
1924
2.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
4052
74.6 IPS |
|
|
Machine Translation (F16)
|
100% |
4073
75.0 IPS |
|
|
Machine Translation (I8)
|
70% |
2324
42.8 IPS |
