ASUS System Product Name
Geekbench ML Score
20971
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 04:20 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% |
11916
2.23 KIPS |
|
|
Image Classification (F16)
|
100% |
11923
2.23 KIPS |
|
|
Image Classification (I8)
|
100% |
9645
1.80 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13482
225.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
13347
222.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
12872
215.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
222394
269.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
239325
289.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
212341
257.1 IPS |
|
|
Object Detection (F32)
|
100% |
5435
405.8 IPS |
|
|
Object Detection (F16)
|
100% |
5473
408.6 IPS |
|
|
Object Detection (I8)
|
56% |
4664
348.2 IPS |
|
|
Face Detection (F32)
|
100% |
39887
474.3 IPS |
|
|
Face Detection (F16)
|
100% |
40447
480.9 IPS |
|
|
Face Detection (I8)
|
88% |
33743
401.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
64745
502.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
65753
509.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
50716
393.3 IPS |
|
|
Style Transfer (F32)
|
100% |
224628
295.5 IPS |
|
|
Style Transfer (F16)
|
100% |
217729
286.4 IPS |
|
|
Style Transfer (I8)
|
98% |
196025
257.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22882
817.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23631
844.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16903
603.7 IPS |
|
|
Text Classification (F32)
|
100% |
3420
4.92 KIPS |
|
|
Text Classification (F16)
|
100% |
3467
4.98 KIPS |
|
|
Text Classification (I8)
|
98% |
1938
2.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
4069
74.9 IPS |
|
|
Machine Translation (F16)
|
100% |
4095
75.4 IPS |
|
|
Machine Translation (I8)
|
70% |
2269
41.8 IPS |
