ASUS System Product Name
Geekbench ML Score
21052
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 09 2025 05:33 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% |
11968
2.24 KIPS |
|
|
Image Classification (F16)
|
100% |
11942
2.23 KIPS |
|
|
Image Classification (I8)
|
100% |
9772
1.83 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13957
233.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
13561
226.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
12287
205.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
235766
285.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
230366
279.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
225657
273.3 IPS |
|
|
Object Detection (F32)
|
100% |
5349
399.3 IPS |
|
|
Object Detection (F16)
|
100% |
5179
386.6 IPS |
|
|
Object Detection (I8)
|
56% |
4520
337.5 IPS |
|
|
Face Detection (F32)
|
100% |
40399
480.4 IPS |
|
|
Face Detection (F16)
|
100% |
39431
468.8 IPS |
|
|
Face Detection (I8)
|
88% |
33654
400.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
63536
492.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
62475
484.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
50714
393.3 IPS |
|
|
Style Transfer (F32)
|
100% |
226926
298.5 IPS |
|
|
Style Transfer (F16)
|
100% |
228843
301.0 IPS |
|
|
Style Transfer (I8)
|
98% |
215599
283.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22767
813.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23384
835.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17130
611.8 IPS |
|
|
Text Classification (F32)
|
100% |
3477
5.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3486
5.01 KIPS |
|
|
Text Classification (I8)
|
98% |
1949
2.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
4087
75.2 IPS |
|
|
Machine Translation (F16)
|
100% |
4176
76.8 IPS |
|
|
Machine Translation (I8)
|
70% |
2260
41.6 IPS |
