ASUS System Product Name
Geekbench ML Score
21213
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 26 2025 05:44 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 7900 XTX |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
12156
2.27 KIPS |
|
|
Image Classification (F16)
|
100% |
12270
2.30 KIPS |
|
|
Image Classification (I8)
|
100% |
9991
1.87 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14069
235.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
13324
222.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
12989
216.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
224272
271.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
243173
294.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
205656
249.0 IPS |
|
|
Object Detection (F32)
|
100% |
5392
402.5 IPS |
|
|
Object Detection (F16)
|
100% |
5343
398.9 IPS |
|
|
Object Detection (I8)
|
56% |
4511
336.8 IPS |
|
|
Face Detection (F32)
|
100% |
40441
480.8 IPS |
|
|
Face Detection (F16)
|
100% |
40470
481.2 IPS |
|
|
Face Detection (I8)
|
88% |
33692
400.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
64846
502.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
65480
507.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
49952
387.4 IPS |
|
|
Style Transfer (F32)
|
100% |
226946
298.5 IPS |
|
|
Style Transfer (F16)
|
100% |
225123
296.1 IPS |
|
|
Style Transfer (I8)
|
98% |
208918
274.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23477
838.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23284
831.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18275
652.7 IPS |
|
|
Text Classification (F32)
|
100% |
3524
5.07 KIPS |
|
|
Text Classification (F16)
|
100% |
3493
5.02 KIPS |
|
|
Text Classification (I8)
|
98% |
1937
2.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
4088
75.2 IPS |
|
|
Machine Translation (F16)
|
100% |
4177
76.9 IPS |
|
|
Machine Translation (I8)
|
70% |
2342
43.1 IPS |
