ASUS System Product Name
Geekbench ML Score
19068
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 29 2025 11:57 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% |
9700
1.82 KIPS |
|
|
Image Classification (F16)
|
100% |
11393
2.13 KIPS |
|
|
Image Classification (I8)
|
100% |
9284
1.74 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9078
151.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
14340
239.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
12297
205.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
120675
146.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
121764
147.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
108870
131.8 IPS |
|
|
Object Detection (F32)
|
100% |
5453
407.1 IPS |
|
|
Object Detection (F16)
|
100% |
5791
432.4 IPS |
|
|
Object Detection (I8)
|
62% |
5407
403.7 IPS |
|
|
Face Detection (F32)
|
100% |
25375
301.7 IPS |
|
|
Face Detection (F16)
|
100% |
26548
315.7 IPS |
|
|
Face Detection (I8)
|
89% |
20722
246.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
50403
390.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
55228
428.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
43672
338.7 IPS |
|
|
Style Transfer (F32)
|
100% |
200714
264.0 IPS |
|
|
Style Transfer (F16)
|
100% |
197788
260.2 IPS |
|
|
Style Transfer (I8)
|
98% |
176252
231.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
28252
1.01 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
33044
1.18 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
26855
959.1 IPS |
|
|
Text Classification (F32)
|
100% |
3189
4.58 KIPS |
|
|
Text Classification (F16)
|
100% |
3548
5.10 KIPS |
|
|
Text Classification (I8)
|
98% |
2351
3.38 KIPS |
|
|
Machine Translation (F32)
|
100% |
4633
85.3 IPS |
|
|
Machine Translation (F16)
|
100% |
5313
97.8 IPS |
|
|
Machine Translation (I8)
|
70% |
2934
54.0 IPS |
