QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench ML Score
4475
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 26 2024 12:18 AM |
| Views | 3 |
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% |
1975
369.5 IPS |
|
|
Image Classification (F16)
|
100% |
1986
371.7 IPS |
|
|
Image Classification (I8)
|
100% |
1597
298.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2134
35.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2125
35.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1844
30.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
35280
42.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
35259
42.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
27722
33.6 IPS |
|
|
Object Detection (F32)
|
100% |
1880
140.3 IPS |
|
|
Object Detection (F16)
|
100% |
1895
141.4 IPS |
|
|
Object Detection (I8)
|
66% |
1627
121.5 IPS |
|
|
Face Detection (F32)
|
100% |
5869
69.8 IPS |
|
|
Face Detection (F16)
|
100% |
5867
69.8 IPS |
|
|
Face Detection (I8)
|
90% |
4495
53.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
12693
98.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
12683
98.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
9628
74.7 IPS |
|
|
Style Transfer (F32)
|
100% |
50628
66.6 IPS |
|
|
Style Transfer (F16)
|
100% |
50676
66.7 IPS |
|
|
Style Transfer (I8)
|
98% |
40324
53.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7436
265.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7416
264.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5032
179.7 IPS |
|
|
Text Classification (F32)
|
100% |
846
1.22 KIPS |
|
|
Text Classification (F16)
|
100% |
814
1.17 KIPS |
|
|
Text Classification (I8)
|
98% |
482
692.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1359
25.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1355
24.9 IPS |
|
|
Machine Translation (I8)
|
69% |
761
14.0 IPS |
