QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
750
Single Precision Score
778
Half Precision Score
2470
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| Upload Date | November 10 2025 08:35 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% |
677
125.8 IPS |
|
|
Image Classification (HP)
|
100% |
657
122.1 IPS |
|
|
Image Classification (Q)
|
100% |
1472
273.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1014
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1541
25.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2180
35.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1729
2.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
1587
1.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
4568
5.36 IPS |
|
|
Object Detection (SP)
|
100% |
879
69.7 IPS |
|
|
Object Detection (HP)
|
100% |
845
67.0 IPS |
|
|
Object Detection (Q)
|
87% |
1574
126.3 IPS |
|
|
Face Detection (SP)
|
100% |
3033
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
2906
34.5 IPS |
|
|
Face Detection (Q)
|
97% |
4530
54.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3134
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2353
18.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
6910
54.6 IPS |
|
|
Style Transfer (SP)
|
100% |
41
0.05 IPS |
|
|
Style Transfer (HP)
|
100% |
40
0.05 IPS |
|
|
Style Transfer (Q)
|
98% |
13301
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1043
38.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1009
37.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4283
158.6 IPS |
|
|
Text Classification (SP)
|
100% |
134
178.7 IPS |
|
|
Text Classification (HP)
|
100% |
252
336.0 IPS |
|
|
Text Classification (Q)
|
91% |
244
327.8 IPS |
|
|
Machine Translation (SP)
|
100% |
995
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
868
15.0 IPS |
|
|
Machine Translation (Q)
|
100% |
843
14.5 IPS |
