QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
642
Single Precision Score
636
Half Precision Score
1955
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| Upload Date | November 10 2025 08:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | QEMU Virtual CPU version 2.5+ |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Standard (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | |
| CPU Information | |
|---|---|
| Name | QEMU Virtual CPU version 2.5+ |
| Topology | 1 Processor, 12 Cores |
| Identifier | GenuineIntel Family 15 Model 107 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 20.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
813
151.1 IPS |
|
|
Image Classification (HP)
|
100% |
635
118.0 IPS |
|
|
Image Classification (Q)
|
100% |
1115
207.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1057
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1161
18.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1779
28.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1624
1.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
1667
1.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
4377
5.13 IPS |
|
|
Object Detection (SP)
|
100% |
654
51.9 IPS |
|
|
Object Detection (HP)
|
100% |
757
60.0 IPS |
|
|
Object Detection (Q)
|
87% |
2346
188.1 IPS |
|
|
Face Detection (SP)
|
100% |
2521
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
2499
29.7 IPS |
|
|
Face Detection (Q)
|
97% |
3977
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2221
17.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2206
17.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
4905
38.8 IPS |
|
|
Style Transfer (SP)
|
100% |
41
0.05 IPS |
|
|
Style Transfer (HP)
|
100% |
41
0.05 IPS |
|
|
Style Transfer (Q)
|
98% |
17435
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1096
40.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1320
48.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2813
104.2 IPS |
|
|
Text Classification (SP)
|
100% |
110
147.1 IPS |
|
|
Text Classification (HP)
|
100% |
106
141.0 IPS |
|
|
Text Classification (Q)
|
91% |
116
156.5 IPS |
|
|
Machine Translation (SP)
|
100% |
472
8.13 IPS |
|
|
Machine Translation (HP)
|
100% |
372
6.41 IPS |
|
|
Machine Translation (Q)
|
100% |
362
6.23 IPS |
