ASUS System Product Name
Geekbench ML Score
20016
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 10:06 AM |
| Views | 7 |
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 9060 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11562
2.16 KIPS |
|
|
Image Classification (F16)
|
100% |
11382
2.13 KIPS |
|
|
Image Classification (I8)
|
100% |
10018
1.87 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14550
243.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
14389
240.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
13391
223.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
121040
146.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
121369
147.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
110859
134.2 IPS |
|
|
Object Detection (F32)
|
100% |
5894
440.0 IPS |
|
|
Object Detection (F16)
|
100% |
5839
435.9 IPS |
|
|
Object Detection (I8)
|
62% |
5281
394.2 IPS |
|
|
Face Detection (F32)
|
100% |
26998
321.0 IPS |
|
|
Face Detection (F16)
|
100% |
26763
318.2 IPS |
|
|
Face Detection (I8)
|
89% |
21292
253.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
55737
432.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
54879
425.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
43874
340.2 IPS |
|
|
Style Transfer (F32)
|
100% |
196978
259.1 IPS |
|
|
Style Transfer (F16)
|
100% |
198166
260.7 IPS |
|
|
Style Transfer (I8)
|
98% |
171088
225.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
32718
1.17 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
30850
1.10 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
26953
962.6 IPS |
|
|
Text Classification (F32)
|
100% |
3404
4.89 KIPS |
|
|
Text Classification (F16)
|
100% |
3544
5.09 KIPS |
|
|
Text Classification (I8)
|
98% |
2453
3.53 KIPS |
|
|
Machine Translation (F32)
|
100% |
5366
98.7 IPS |
|
|
Machine Translation (F16)
|
100% |
5388
99.1 IPS |
|
|
Machine Translation (I8)
|
70% |
3137
57.7 IPS |
