QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
1280
Single Precision Score
656
Half Precision Score
1645
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | albzn |
| Upload Date | December 13 2025 02:45 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Processor (Haswell, no TSX, IBRS) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Processor (Haswell, no TSX, IBRS) |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 1 |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
973
181.0 IPS |
|
|
Image Classification (HP)
|
100% |
256
47.7 IPS |
|
|
Image Classification (Q)
|
96% |
1177
219.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
465
7.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
365
5.91 IPS |
|
|
Image Segmentation (Q)
|
97% |
1515
24.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2131
2.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
1716
2.00 IPS |
|
|
Pose Estimation (Q)
|
86% |
2595
3.07 IPS |
|
|
Object Detection (SP)
|
100% |
917
72.7 IPS |
|
|
Object Detection (HP)
|
100% |
283
22.4 IPS |
|
|
Object Detection (Q)
|
58% |
830
90.7 IPS |
|
|
Face Detection (SP)
|
100% |
1576
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
673
8.00 IPS |
|
|
Face Detection (Q)
|
96% |
2728
32.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3029
23.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
964
7.42 IPS |
|
|
Depth Estimation (Q)
|
78% |
2856
22.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4803
6.17 IPS |
|
|
Style Transfer (HP)
|
100% |
3843
4.94 IPS |
|
|
Style Transfer (Q)
|
87% |
4715
6.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
918
33.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
766
28.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1452
53.8 IPS |
|
|
Text Classification (SP)
|
100% |
842
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
465
620.2 IPS |
|
|
Text Classification (Q)
|
97% |
717
960.1 IPS |
|
|
Machine Translation (SP)
|
100% |
756
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
371
6.39 IPS |
|
|
Machine Translation (Q)
|
68% |
993
19.2 IPS |
