QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
541
Single Precision Score
278
Half Precision Score
1085
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 07 2025 03:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.99 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1170
217.7 IPS |
|
|
Image Classification (HP)
|
100% |
152
28.3 IPS |
|
|
Image Classification (Q)
|
99% |
1154
215.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
418
6.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
201
3.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
661
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
742
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
569
0.66 IPS |
|
|
Pose Estimation (Q)
|
94% |
2126
2.49 IPS |
|
|
Object Detection (SP)
|
100% |
289
23.0 IPS |
|
|
Object Detection (HP)
|
100% |
157
12.5 IPS |
|
|
Object Detection (Q)
|
86% |
4119
331.1 IPS |
|
|
Face Detection (SP)
|
100% |
417
4.95 IPS |
|
|
Face Detection (HP)
|
100% |
249
2.96 IPS |
|
|
Face Detection (Q)
|
97% |
1230
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2065
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
823
6.34 IPS |
|
|
Depth Estimation (Q)
|
78% |
2179
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1185
1.52 IPS |
|
|
Style Transfer (HP)
|
100% |
1324
1.70 IPS |
|
|
Style Transfer (Q)
|
98% |
3030
3.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
197
7.28 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
164
6.06 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
423
15.7 IPS |
|
|
Text Classification (SP)
|
100% |
373
497.5 IPS |
|
|
Text Classification (HP)
|
100% |
106
142.0 IPS |
|
|
Text Classification (Q)
|
97% |
200
267.7 IPS |
|
|
Machine Translation (SP)
|
100% |
277
4.77 IPS |
|
|
Machine Translation (HP)
|
100% |
217
3.74 IPS |
|
|
Machine Translation (Q)
|
65% |
494
9.93 IPS |
