ASUS System Product Name
Geekbench ML Score
20954
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 13 2026 05:14 AM |
| Views | 11 |
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% |
12297
2.30 KIPS |
|
|
Image Classification (F16)
|
100% |
12470
2.33 KIPS |
|
|
Image Classification (I8)
|
100% |
10107
1.89 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14107
235.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
13917
232.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
12737
212.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
222742
269.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
220942
267.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
206888
250.5 IPS |
|
|
Object Detection (F32)
|
100% |
4794
357.9 IPS |
|
|
Object Detection (F16)
|
100% |
4659
347.8 IPS |
|
|
Object Detection (I8)
|
56% |
4460
332.9 IPS |
|
|
Face Detection (F32)
|
100% |
40058
476.3 IPS |
|
|
Face Detection (F16)
|
100% |
39489
469.5 IPS |
|
|
Face Detection (I8)
|
88% |
33081
393.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
64675
501.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
64027
496.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
49540
384.2 IPS |
|
|
Style Transfer (F32)
|
100% |
219921
289.3 IPS |
|
|
Style Transfer (F16)
|
100% |
221745
291.7 IPS |
|
|
Style Transfer (I8)
|
98% |
206579
271.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23464
838.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23939
854.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18660
666.4 IPS |
|
|
Text Classification (F32)
|
100% |
3492
5.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3490
5.02 KIPS |
|
|
Text Classification (I8)
|
98% |
1985
2.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
4145
76.3 IPS |
|
|
Machine Translation (F16)
|
100% |
4147
76.3 IPS |
|
|
Machine Translation (I8)
|
70% |
2347
43.2 IPS |
