PROXMOX WindowsSample01 QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
13904
Single Precision Score
22818
Half Precision Score
9708
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ruse-urban-vixen |
| Upload Date | June 10 2025 06:47 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2070 SUPER |
| 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% |
5247
975.8 IPS |
|
|
Image Classification (HP)
|
100% |
8302
1.54 KIPS |
|
|
Image Classification (Q)
|
99% |
4242
791.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
10042
162.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13815
224.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7962
129.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
76568
89.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
209070
243.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
62537
73.3 IPS |
|
|
Object Detection (SP)
|
100% |
6988
554.3 IPS |
|
|
Object Detection (HP)
|
100% |
11027
874.7 IPS |
|
|
Object Detection (Q)
|
84% |
5459
440.3 IPS |
|
|
Face Detection (SP)
|
100% |
17796
211.5 IPS |
|
|
Face Detection (HP)
|
100% |
27674
328.8 IPS |
|
|
Face Detection (Q)
|
97% |
14289
170.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
34878
268.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
62735
483.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
23600
189.1 IPS |
|
|
Style Transfer (SP)
|
100% |
126168
162.2 IPS |
|
|
Style Transfer (HP)
|
100% |
282252
362.8 IPS |
|
|
Style Transfer (Q)
|
98% |
102350
132.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22924
846.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32978
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13669
506.1 IPS |
|
|
Text Classification (SP)
|
100% |
1597
2.13 KIPS |
|
|
Text Classification (HP)
|
99% |
2679
3.58 KIPS |
|
|
Text Classification (Q)
|
97% |
997
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3343
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3343
57.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1371
25.7 IPS |
