QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
2087
Single Precision Score
799
Half Precision Score
2083
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Maditgeek |
| Upload Date | January 24 2025 12:59 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2690 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2690 v4 |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.22 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1566
291.2 IPS |
|
|
Image Classification (HP)
|
100% |
274
50.9 IPS |
|
|
Image Classification (Q)
|
96% |
1761
328.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
732
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
443
7.18 IPS |
|
|
Image Segmentation (Q)
|
97% |
1180
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4672
5.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
3062
3.57 IPS |
|
|
Pose Estimation (Q)
|
86% |
4806
5.68 IPS |
|
|
Object Detection (SP)
|
100% |
1521
120.6 IPS |
|
|
Object Detection (HP)
|
100% |
335
26.6 IPS |
|
|
Object Detection (Q)
|
58% |
1310
143.2 IPS |
|
|
Face Detection (SP)
|
100% |
3896
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
866
10.3 IPS |
|
|
Face Detection (Q)
|
96% |
3774
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4893
37.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1148
8.84 IPS |
|
|
Depth Estimation (Q)
|
78% |
4710
37.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9839
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7556
9.71 IPS |
|
|
Style Transfer (Q)
|
87% |
6333
8.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1357
50.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1004
37.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1272
47.1 IPS |
|
|
Text Classification (SP)
|
100% |
700
934.2 IPS |
|
|
Text Classification (HP)
|
100% |
345
460.1 IPS |
|
|
Text Classification (Q)
|
97% |
654
876.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1081
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
331
5.69 IPS |
|
|
Machine Translation (Q)
|
68% |
1256
24.3 IPS |
