QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
2133
Single Precision Score
858
Half Precision Score
2435
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 16 2026 05:42 AM |
| Views | 2 |
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% |
1685
313.3 IPS |
|
|
Image Classification (HP)
|
100% |
297
55.1 IPS |
|
|
Image Classification (Q)
|
96% |
1986
370.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1069
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
380
6.16 IPS |
|
|
Image Segmentation (Q)
|
97% |
2597
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4565
5.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
3488
4.07 IPS |
|
|
Pose Estimation (Q)
|
86% |
4568
5.40 IPS |
|
|
Object Detection (SP)
|
100% |
1610
127.7 IPS |
|
|
Object Detection (HP)
|
100% |
375
29.7 IPS |
|
|
Object Detection (Q)
|
58% |
1480
161.7 IPS |
|
|
Face Detection (SP)
|
100% |
3112
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
785
9.33 IPS |
|
|
Face Detection (Q)
|
96% |
4295
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5224
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1216
9.37 IPS |
|
|
Depth Estimation (Q)
|
78% |
4716
37.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10324
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8490
10.9 IPS |
|
|
Style Transfer (Q)
|
87% |
8342
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1191
44.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1230
45.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1552
57.5 IPS |
|
|
Text Classification (SP)
|
100% |
697
930.8 IPS |
|
|
Text Classification (HP)
|
100% |
329
439.0 IPS |
|
|
Text Classification (Q)
|
97% |
585
783.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1060
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
448
7.72 IPS |
|
|
Machine Translation (Q)
|
68% |
1370
26.5 IPS |
