PROXMOX WindowsSample01 QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
2493
Single Precision Score
1279
Half Precision Score
4698
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ruse-urban-vixen |
| Upload Date | June 10 2025 06:45 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
1840
342.2 IPS |
|
|
Image Classification (HP)
|
100% |
519
96.6 IPS |
|
|
Image Classification (Q)
|
99% |
4109
766.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1166
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
854
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2471
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3560
4.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
2900
3.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
12130
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1814
143.9 IPS |
|
|
Object Detection (HP)
|
100% |
629
49.9 IPS |
|
|
Object Detection (Q)
|
86% |
4053
325.7 IPS |
|
|
Face Detection (SP)
|
100% |
3544
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
1419
16.9 IPS |
|
|
Face Detection (Q)
|
97% |
6247
74.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4784
36.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1815
14.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
9153
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8556
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
6825
8.77 IPS |
|
|
Style Transfer (Q)
|
98% |
13063
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1842
68.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1537
56.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3130
115.9 IPS |
|
|
Text Classification (SP)
|
100% |
1328
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
774
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1602
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1892
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
697
12.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2802
56.3 IPS |
