QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
888
Single Precision Score
827
Half Precision Score
2778
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% |
780
145.0 IPS |
|
|
Image Classification (HP)
|
100% |
1111
206.6 IPS |
|
|
Image Classification (Q)
|
100% |
2441
453.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1330
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1207
19.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3490
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1910
2.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1679
1.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
4188
4.91 IPS |
|
|
Object Detection (SP)
|
100% |
887
70.4 IPS |
|
|
Object Detection (HP)
|
100% |
711
56.4 IPS |
|
|
Object Detection (Q)
|
87% |
1742
139.7 IPS |
|
|
Face Detection (SP)
|
100% |
4294
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
2952
35.1 IPS |
|
|
Face Detection (Q)
|
97% |
5640
67.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2544
19.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2130
16.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
5703
45.1 IPS |
|
|
Style Transfer (SP)
|
100% |
41
0.05 IPS |
|
|
Style Transfer (HP)
|
100% |
41
0.05 IPS |
|
|
Style Transfer (Q)
|
98% |
19095
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1290
47.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1297
47.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3015
111.7 IPS |
|
|
Text Classification (SP)
|
100% |
265
353.4 IPS |
|
|
Text Classification (HP)
|
100% |
267
356.5 IPS |
|
|
Text Classification (Q)
|
91% |
285
383.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1139
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1053
18.1 IPS |
|
|
Machine Translation (Q)
|
100% |
836
14.4 IPS |
