QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
1866
Single Precision Score
849
Half Precision Score
2402
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | LessPlum3393 |
| Upload Date | February 13 2026 08:28 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2667 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2667 v4 |
| Topology | 2 Processors, 10 Cores |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1441
267.9 IPS |
|
|
Image Classification (HP)
|
100% |
292
54.3 IPS |
|
|
Image Classification (Q)
|
96% |
2403
448.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
662
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
451
7.31 IPS |
|
|
Image Segmentation (Q)
|
97% |
2470
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4570
5.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
3185
3.72 IPS |
|
|
Pose Estimation (Q)
|
86% |
5560
6.57 IPS |
|
|
Object Detection (SP)
|
100% |
1105
87.6 IPS |
|
|
Object Detection (HP)
|
100% |
361
28.6 IPS |
|
|
Object Detection (Q)
|
58% |
1436
156.9 IPS |
|
|
Face Detection (SP)
|
100% |
2500
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
741
8.80 IPS |
|
|
Face Detection (Q)
|
96% |
4400
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4258
32.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1261
9.72 IPS |
|
|
Depth Estimation (Q)
|
78% |
5355
42.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8962
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8119
10.4 IPS |
|
|
Style Transfer (Q)
|
87% |
7321
9.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1317
48.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1012
37.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2033
75.3 IPS |
|
|
Text Classification (SP)
|
100% |
826
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
412
549.7 IPS |
|
|
Text Classification (Q)
|
97% |
336
450.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1029
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
409
7.04 IPS |
|
|
Machine Translation (Q)
|
68% |
1145
22.1 IPS |
