QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
2646
Single Precision Score
1182
Half Precision Score
4434
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 26 2025 02:59 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 PRO 5650G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 PRO 5650G |
| Topology | 1 Processor, 10 Cores |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.89 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1994
370.8 IPS |
|
|
Image Classification (HP)
|
100% |
411
76.4 IPS |
|
|
Image Classification (Q)
|
96% |
4051
756.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1116
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
716
11.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
4775
77.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4225
4.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
3489
4.07 IPS |
|
|
Pose Estimation (Q)
|
86% |
9537
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1958
155.3 IPS |
|
|
Object Detection (HP)
|
100% |
492
39.0 IPS |
|
|
Object Detection (Q)
|
58% |
2771
302.7 IPS |
|
|
Face Detection (SP)
|
100% |
3826
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
1006
11.9 IPS |
|
|
Face Detection (Q)
|
96% |
6924
82.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5553
42.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1874
14.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
8474
67.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10814
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8627
11.1 IPS |
|
|
Style Transfer (Q)
|
87% |
14285
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1769
65.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1461
54.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3179
117.8 IPS |
|
|
Text Classification (SP)
|
100% |
1216
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
593
791.3 IPS |
|
|
Text Classification (Q)
|
97% |
968
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1856
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
749
12.9 IPS |
|
|
Machine Translation (Q)
|
68% |
2231
43.1 IPS |
