QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench ML Score
4761
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 26 2024 12:55 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% |
2106
394.0 IPS |
|
|
Image Classification (F16)
|
100% |
2120
396.8 IPS |
|
|
Image Classification (I8)
|
100% |
1710
320.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2249
37.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2251
37.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1948
32.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
38042
46.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
38182
46.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
30125
36.5 IPS |
|
|
Object Detection (F32)
|
100% |
1986
148.3 IPS |
|
|
Object Detection (F16)
|
100% |
1885
140.7 IPS |
|
|
Object Detection (I8)
|
66% |
1735
129.6 IPS |
|
|
Face Detection (F32)
|
100% |
6426
76.4 IPS |
|
|
Face Detection (F16)
|
100% |
6470
76.9 IPS |
|
|
Face Detection (I8)
|
90% |
4901
58.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
13824
107.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
13818
107.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
10506
81.5 IPS |
|
|
Style Transfer (F32)
|
100% |
53657
70.6 IPS |
|
|
Style Transfer (F16)
|
100% |
53810
70.8 IPS |
|
|
Style Transfer (I8)
|
98% |
43236
56.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7700
275.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7739
276.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5294
189.1 IPS |
|
|
Text Classification (F32)
|
100% |
910
1.31 KIPS |
|
|
Text Classification (F16)
|
100% |
826
1.19 KIPS |
|
|
Text Classification (I8)
|
98% |
509
730.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1415
26.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1415
26.0 IPS |
|
|
Machine Translation (I8)
|
69% |
812
14.9 IPS |
