QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench ML Score
4396
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 25 2024 11:05 PM |
| 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% |
1865
349.0 IPS |
|
|
Image Classification (F16)
|
100% |
1813
339.2 IPS |
|
|
Image Classification (I8)
|
100% |
1520
284.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2104
35.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2102
35.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1836
30.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
35297
42.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
35340
42.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
27825
33.7 IPS |
|
|
Object Detection (F32)
|
100% |
1896
141.5 IPS |
|
|
Object Detection (F16)
|
100% |
1898
141.7 IPS |
|
|
Object Detection (I8)
|
66% |
1655
123.6 IPS |
|
|
Face Detection (F32)
|
100% |
5059
60.2 IPS |
|
|
Face Detection (F16)
|
100% |
4966
59.0 IPS |
|
|
Face Detection (I8)
|
90% |
3802
45.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
12777
99.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
12790
99.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
9671
75.0 IPS |
|
|
Style Transfer (F32)
|
100% |
50468
66.4 IPS |
|
|
Style Transfer (F16)
|
100% |
50206
66.0 IPS |
|
|
Style Transfer (I8)
|
98% |
39626
52.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7530
268.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7556
269.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5093
181.9 IPS |
|
|
Text Classification (F32)
|
100% |
832
1.20 KIPS |
|
|
Text Classification (F16)
|
100% |
868
1.25 KIPS |
|
|
Text Classification (I8)
|
98% |
500
718.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1370
25.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1362
25.1 IPS |
|
|
Machine Translation (I8)
|
69% |
770
14.2 IPS |
