PROXMOX WindowsSample01 QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
3089
Single Precision Score
3105
Half Precision Score
7294
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ruse-urban-vixen |
| Upload Date | June 10 2025 06:50 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-12400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1887
350.9 IPS |
|
|
Image Classification (HP)
|
100% |
1888
351.2 IPS |
|
|
Image Classification (Q)
|
100% |
4526
841.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2266
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2296
37.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4444
72.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3450
4.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
3426
4.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
12841
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1825
144.8 IPS |
|
|
Object Detection (HP)
|
100% |
1854
147.1 IPS |
|
|
Object Detection (Q)
|
88% |
4705
377.1 IPS |
|
|
Face Detection (SP)
|
100% |
4536
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
4602
54.7 IPS |
|
|
Face Detection (Q)
|
100% |
10187
121.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4504
34.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4743
36.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
11911
92.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10353
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10447
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
36287
46.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2189
80.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2139
79.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7025
260.1 IPS |
|
|
Text Classification (SP)
|
100% |
1957
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1986
2.65 KIPS |
|
|
Text Classification (Q)
|
92% |
3613
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3251
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3124
53.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3141
54.1 IPS |
