ASUS System Product Name
Geekbench ML Score
21169
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 03 2026 06:02 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% |
12459
2.33 KIPS |
|
|
Image Classification (F16)
|
100% |
12451
2.33 KIPS |
|
|
Image Classification (I8)
|
100% |
10027
1.88 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14031
234.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
13893
232.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
12448
207.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
223368
270.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
236062
285.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
209778
254.0 IPS |
|
|
Object Detection (F32)
|
100% |
4707
351.4 IPS |
|
|
Object Detection (F16)
|
100% |
4680
349.4 IPS |
|
|
Object Detection (I8)
|
56% |
4466
333.4 IPS |
|
|
Face Detection (F32)
|
100% |
40600
482.7 IPS |
|
|
Face Detection (F16)
|
100% |
39530
470.0 IPS |
|
|
Face Detection (I8)
|
88% |
33040
392.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
64938
503.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
65326
506.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
57777
448.1 IPS |
|
|
Style Transfer (F32)
|
100% |
220886
290.6 IPS |
|
|
Style Transfer (F16)
|
100% |
225847
297.1 IPS |
|
|
Style Transfer (I8)
|
98% |
202417
266.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23431
836.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24567
877.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18070
645.3 IPS |
|
|
Text Classification (F32)
|
100% |
3588
5.16 KIPS |
|
|
Text Classification (F16)
|
100% |
3555
5.11 KIPS |
|
|
Text Classification (I8)
|
98% |
2013
2.89 KIPS |
|
|
Machine Translation (F32)
|
100% |
4166
76.7 IPS |
|
|
Machine Translation (F16)
|
100% |
4200
77.3 IPS |
|
|
Machine Translation (I8)
|
70% |
2345
43.2 IPS |
