QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
786
Single Precision Score
854
Half Precision Score
2237
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% |
866
161.1 IPS |
|
|
Image Classification (HP)
|
100% |
960
178.5 IPS |
|
|
Image Classification (Q)
|
100% |
2349
436.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1122
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1832
29.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2076
33.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1641
1.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
1604
1.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
4362
5.12 IPS |
|
|
Object Detection (SP)
|
100% |
875
69.4 IPS |
|
|
Object Detection (HP)
|
100% |
779
61.8 IPS |
|
|
Object Detection (Q)
|
87% |
1657
132.9 IPS |
|
|
Face Detection (SP)
|
100% |
2976
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
4150
49.3 IPS |
|
|
Face Detection (Q)
|
97% |
7659
91.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2154
16.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3917
30.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
4913
38.8 IPS |
|
|
Style Transfer (SP)
|
100% |
41
0.05 IPS |
|
|
Style Transfer (HP)
|
100% |
41
0.05 IPS |
|
|
Style Transfer (Q)
|
98% |
12748
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1025
37.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1037
38.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2609
96.6 IPS |
|
|
Text Classification (SP)
|
100% |
236
315.0 IPS |
|
|
Text Classification (HP)
|
100% |
158
210.3 IPS |
|
|
Text Classification (Q)
|
91% |
102
136.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1026
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
865
14.9 IPS |
|
|
Machine Translation (Q)
|
100% |
699
12.0 IPS |
