QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
650
Single Precision Score
663
Half Precision Score
2014
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| Upload Date | November 11 2025 02:16 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% |
744
138.4 IPS |
|
|
Image Classification (HP)
|
100% |
655
121.7 IPS |
|
|
Image Classification (Q)
|
100% |
1265
235.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1133
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1134
18.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1864
30.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1627
1.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
1701
1.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
6048
7.09 IPS |
|
|
Object Detection (SP)
|
100% |
693
55.0 IPS |
|
|
Object Detection (HP)
|
100% |
799
63.3 IPS |
|
|
Object Detection (Q)
|
87% |
1357
108.8 IPS |
|
|
Face Detection (SP)
|
100% |
2763
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
2920
34.7 IPS |
|
|
Face Detection (Q)
|
97% |
4642
55.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2154
16.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2311
17.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
5229
41.3 IPS |
|
|
Style Transfer (SP)
|
100% |
41
0.05 IPS |
|
|
Style Transfer (HP)
|
100% |
41
0.05 IPS |
|
|
Style Transfer (Q)
|
98% |
18055
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
965
35.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1352
49.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3336
123.6 IPS |
|
|
Text Classification (SP)
|
100% |
118
157.2 IPS |
|
|
Text Classification (HP)
|
100% |
109
145.5 IPS |
|
|
Text Classification (Q)
|
91% |
111
149.6 IPS |
|
|
Machine Translation (SP)
|
100% |
511
8.80 IPS |
|
|
Machine Translation (HP)
|
100% |
399
6.88 IPS |
|
|
Machine Translation (Q)
|
100% |
351
6.05 IPS |
