QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
975
Single Precision Score
462
Half Precision Score
1751
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 07 2025 03:08 PM |
| Views | 3 |
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% |
1953
363.2 IPS |
|
|
Image Classification (HP)
|
100% |
332
61.7 IPS |
|
|
Image Classification (Q)
|
99% |
4082
761.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1039
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
493
7.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
5173
84.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2810
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2785
3.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
3242
3.80 IPS |
|
|
Object Detection (SP)
|
100% |
347
27.5 IPS |
|
|
Object Detection (HP)
|
100% |
186
14.8 IPS |
|
|
Object Detection (Q)
|
86% |
1184
95.2 IPS |
|
|
Face Detection (SP)
|
100% |
2305
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
310
3.68 IPS |
|
|
Face Detection (Q)
|
97% |
1364
16.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
776
5.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
439
3.38 IPS |
|
|
Depth Estimation (Q)
|
78% |
1627
13.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1781
2.29 IPS |
|
|
Style Transfer (HP)
|
100% |
1716
2.21 IPS |
|
|
Style Transfer (Q)
|
98% |
4484
5.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
615
22.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
403
14.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
978
36.2 IPS |
|
|
Text Classification (SP)
|
100% |
297
396.3 IPS |
|
|
Text Classification (HP)
|
100% |
250
333.3 IPS |
|
|
Text Classification (Q)
|
97% |
398
533.1 IPS |
|
|
Machine Translation (SP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
225
3.87 IPS |
|
|
Machine Translation (Q)
|
65% |
866
17.4 IPS |
