ASUS System Product Name
Geekbench ML Score
21060
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 17 2025 09:04 AM |
| Views | 4 |
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% |
12253
2.29 KIPS |
|
|
Image Classification (F16)
|
100% |
12310
2.30 KIPS |
|
|
Image Classification (I8)
|
100% |
9838
1.84 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14062
234.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
13948
233.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
13279
221.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
238875
289.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
246859
298.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
212319
257.1 IPS |
|
|
Object Detection (F32)
|
100% |
4635
346.0 IPS |
|
|
Object Detection (F16)
|
100% |
4704
351.2 IPS |
|
|
Object Detection (I8)
|
56% |
4668
348.5 IPS |
|
|
Face Detection (F32)
|
100% |
40344
479.7 IPS |
|
|
Face Detection (F16)
|
100% |
39701
472.1 IPS |
|
|
Face Detection (I8)
|
88% |
33058
393.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
64524
500.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
64799
502.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
49562
384.3 IPS |
|
|
Style Transfer (F32)
|
100% |
218156
287.0 IPS |
|
|
Style Transfer (F16)
|
100% |
227310
299.0 IPS |
|
|
Style Transfer (I8)
|
98% |
205418
270.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24501
875.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23038
822.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17281
617.2 IPS |
|
|
Text Classification (F32)
|
100% |
3467
4.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3483
5.01 KIPS |
|
|
Text Classification (I8)
|
98% |
1917
2.76 KIPS |
|
|
Machine Translation (F32)
|
100% |
4177
76.9 IPS |
|
|
Machine Translation (F16)
|
100% |
4164
76.6 IPS |
|
|
Machine Translation (I8)
|
70% |
2340
43.1 IPS |
