QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
2082
Single Precision Score
862
Half Precision Score
2442
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 16 2026 05:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 12 Cores |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.59 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1738
323.2 IPS |
|
|
Image Classification (HP)
|
100% |
298
55.4 IPS |
|
|
Image Classification (Q)
|
96% |
2018
376.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
866
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
398
6.45 IPS |
|
|
Image Segmentation (Q)
|
97% |
2684
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4601
5.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
3483
4.06 IPS |
|
|
Pose Estimation (Q)
|
86% |
4614
5.46 IPS |
|
|
Object Detection (SP)
|
100% |
1543
122.4 IPS |
|
|
Object Detection (HP)
|
100% |
377
29.9 IPS |
|
|
Object Detection (Q)
|
58% |
1459
159.4 IPS |
|
|
Face Detection (SP)
|
100% |
3085
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
793
9.42 IPS |
|
|
Face Detection (Q)
|
96% |
4292
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5192
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1219
9.39 IPS |
|
|
Depth Estimation (Q)
|
78% |
4811
38.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10327
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8523
11.0 IPS |
|
|
Style Transfer (Q)
|
87% |
8403
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1202
44.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1202
44.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1552
57.5 IPS |
|
|
Text Classification (SP)
|
100% |
693
925.1 IPS |
|
|
Text Classification (HP)
|
100% |
328
438.3 IPS |
|
|
Text Classification (Q)
|
97% |
572
765.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
448
7.71 IPS |
|
|
Machine Translation (Q)
|
68% |
1344
26.0 IPS |
