QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
795
Single Precision Score
806
Half Precision Score
2441
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| Upload Date | November 10 2025 08:35 AM |
| Views | 3 |
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% |
679
126.3 IPS |
|
|
Image Classification (HP)
|
100% |
686
127.5 IPS |
|
|
Image Classification (Q)
|
100% |
2161
401.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1302
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1650
26.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1936
31.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1610
1.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
1573
1.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
5954
6.98 IPS |
|
|
Object Detection (SP)
|
100% |
730
57.9 IPS |
|
|
Object Detection (HP)
|
100% |
828
65.7 IPS |
|
|
Object Detection (Q)
|
87% |
1590
127.5 IPS |
|
|
Face Detection (SP)
|
100% |
4097
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
2695
32.0 IPS |
|
|
Face Detection (Q)
|
97% |
4539
54.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1980
15.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3354
25.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
4758
37.6 IPS |
|
|
Style Transfer (SP)
|
100% |
40
0.05 IPS |
|
|
Style Transfer (HP)
|
100% |
41
0.05 IPS |
|
|
Style Transfer (Q)
|
98% |
13460
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1052
38.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
994
36.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2904
107.6 IPS |
|
|
Text Classification (SP)
|
100% |
262
349.7 IPS |
|
|
Text Classification (HP)
|
100% |
255
340.0 IPS |
|
|
Text Classification (Q)
|
91% |
283
380.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1086
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (Q)
|
100% |
796
13.7 IPS |
