QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
793
Single Precision Score
798
Half Precision Score
2353
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| Upload Date | November 11 2025 02:15 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% |
908
168.9 IPS |
|
|
Image Classification (HP)
|
100% |
997
185.4 IPS |
|
|
Image Classification (Q)
|
100% |
1657
308.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1179
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1230
19.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2194
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1650
1.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
1663
1.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
4989
5.85 IPS |
|
|
Object Detection (SP)
|
100% |
786
62.3 IPS |
|
|
Object Detection (HP)
|
100% |
756
60.0 IPS |
|
|
Object Detection (Q)
|
87% |
1608
128.9 IPS |
|
|
Face Detection (SP)
|
100% |
2820
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
3352
39.8 IPS |
|
|
Face Detection (Q)
|
97% |
5127
61.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2511
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2482
19.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
4624
36.5 IPS |
|
|
Style Transfer (SP)
|
100% |
41
0.05 IPS |
|
|
Style Transfer (HP)
|
100% |
40
0.05 IPS |
|
|
Style Transfer (Q)
|
98% |
14810
19.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1028
37.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1034
38.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4027
149.2 IPS |
|
|
Text Classification (SP)
|
100% |
218
290.3 IPS |
|
|
Text Classification (HP)
|
100% |
240
320.3 IPS |
|
|
Text Classification (Q)
|
91% |
262
352.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1090
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (Q)
|
100% |
483
8.33 IPS |
