QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench ML Score
4731
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 26 2024 12:39 AM |
| Views | 4 |
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% |
2089
390.9 IPS |
|
|
Image Classification (F16)
|
100% |
2085
390.1 IPS |
|
|
Image Classification (I8)
|
100% |
1689
316.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2206
36.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2226
37.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1934
32.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
37772
45.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
37775
45.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
29970
36.3 IPS |
|
|
Object Detection (F32)
|
100% |
1966
146.8 IPS |
|
|
Object Detection (F16)
|
100% |
1962
146.5 IPS |
|
|
Object Detection (I8)
|
66% |
1730
129.2 IPS |
|
|
Face Detection (F32)
|
100% |
6196
73.7 IPS |
|
|
Face Detection (F16)
|
100% |
6191
73.6 IPS |
|
|
Face Detection (I8)
|
90% |
4797
57.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
13580
105.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
13609
105.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
10428
80.9 IPS |
|
|
Style Transfer (F32)
|
100% |
53238
70.0 IPS |
|
|
Style Transfer (F16)
|
100% |
53407
70.3 IPS |
|
|
Style Transfer (I8)
|
98% |
42895
56.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7617
272.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7587
270.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5258
187.8 IPS |
|
|
Text Classification (F32)
|
100% |
901
1.30 KIPS |
|
|
Text Classification (F16)
|
100% |
894
1.28 KIPS |
|
|
Text Classification (I8)
|
98% |
529
760.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1406
25.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1410
25.9 IPS |
|
|
Machine Translation (I8)
|
69% |
805
14.8 IPS |
