QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench ML Score
4863
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 26 2024 01:00 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10600K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 4.00 MB x 4 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
| Type | RAM |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon (TM) Pro WX 5100 Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2162
404.5 IPS |
|
|
Image Classification (F16)
|
100% |
2160
404.2 IPS |
|
|
Image Classification (I8)
|
100% |
1759
329.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2259
37.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2261
37.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1961
32.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
38440
46.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
38279
46.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
30460
36.9 IPS |
|
|
Object Detection (F32)
|
100% |
2050
153.0 IPS |
|
|
Object Detection (F16)
|
100% |
2050
153.0 IPS |
|
|
Object Detection (I8)
|
66% |
1762
131.6 IPS |
|
|
Face Detection (F32)
|
100% |
6665
79.2 IPS |
|
|
Face Detection (F16)
|
100% |
6667
79.3 IPS |
|
|
Face Detection (I8)
|
90% |
5001
59.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
14129
109.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
14134
109.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
10673
82.8 IPS |
|
|
Style Transfer (F32)
|
100% |
54100
71.2 IPS |
|
|
Style Transfer (F16)
|
100% |
54091
71.2 IPS |
|
|
Style Transfer (I8)
|
98% |
43695
57.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7716
275.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7955
284.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5457
194.9 IPS |
|
|
Text Classification (F32)
|
100% |
884
1.27 KIPS |
|
|
Text Classification (F16)
|
100% |
932
1.34 KIPS |
|
|
Text Classification (I8)
|
98% |
537
771.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1429
26.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1423
26.2 IPS |
|
|
Machine Translation (I8)
|
69% |
815
15.0 IPS |
