ASUS System Product Name
Geekbench ML Score
19146
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 20 2025 05:01 AM |
| Views | 6 |
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% |
9834
1.84 KIPS |
|
|
Image Classification (F16)
|
100% |
11405
2.13 KIPS |
|
|
Image Classification (I8)
|
100% |
9504
1.78 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9309
155.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
14462
241.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
12355
206.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
118959
144.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
121741
147.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
107187
129.8 IPS |
|
|
Object Detection (F32)
|
100% |
5374
401.2 IPS |
|
|
Object Detection (F16)
|
100% |
5746
429.0 IPS |
|
|
Object Detection (I8)
|
62% |
5515
411.7 IPS |
|
|
Face Detection (F32)
|
100% |
25577
304.1 IPS |
|
|
Face Detection (F16)
|
100% |
26469
314.7 IPS |
|
|
Face Detection (I8)
|
89% |
20720
246.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
52841
409.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
54973
426.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
43653
338.5 IPS |
|
|
Style Transfer (F32)
|
100% |
198673
261.3 IPS |
|
|
Style Transfer (F16)
|
100% |
196832
258.9 IPS |
|
|
Style Transfer (I8)
|
98% |
175506
230.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
29402
1.05 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
33204
1.19 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
27232
972.6 IPS |
|
|
Text Classification (F32)
|
100% |
3249
4.67 KIPS |
|
|
Text Classification (F16)
|
100% |
3506
5.04 KIPS |
|
|
Text Classification (I8)
|
98% |
2309
3.32 KIPS |
|
|
Machine Translation (F32)
|
100% |
4656
85.7 IPS |
|
|
Machine Translation (F16)
|
100% |
5377
99.0 IPS |
|
|
Machine Translation (I8)
|
70% |
2898
53.3 IPS |
