QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench ML Score
4656
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 26 2024 12:28 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% |
2054
384.4 IPS |
|
|
Image Classification (F16)
|
100% |
2040
381.7 IPS |
|
|
Image Classification (I8)
|
100% |
1658
310.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2196
36.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2181
36.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1914
32.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
37585
45.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
37555
45.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
29530
35.8 IPS |
|
|
Object Detection (F32)
|
100% |
1940
144.9 IPS |
|
|
Object Detection (F16)
|
100% |
1933
144.3 IPS |
|
|
Object Detection (I8)
|
66% |
1666
124.3 IPS |
|
|
Face Detection (F32)
|
100% |
6073
72.2 IPS |
|
|
Face Detection (F16)
|
100% |
6051
71.9 IPS |
|
|
Face Detection (I8)
|
90% |
4687
55.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
13349
103.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
13316
103.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
10153
78.7 IPS |
|
|
Style Transfer (F32)
|
100% |
53024
69.7 IPS |
|
|
Style Transfer (F16)
|
100% |
53203
70.0 IPS |
|
|
Style Transfer (I8)
|
98% |
42327
55.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7539
269.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7643
273.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5121
182.9 IPS |
|
|
Text Classification (F32)
|
100% |
822
1.18 KIPS |
|
|
Text Classification (F16)
|
100% |
895
1.29 KIPS |
|
|
Text Classification (I8)
|
98% |
527
756.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1399
25.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1403
25.8 IPS |
|
|
Machine Translation (I8)
|
69% |
797
14.7 IPS |
