QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
1731
Single Precision Score
804
Half Precision Score
2242
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 13 2026 08:16 AM |
| Views | 3 |
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% |
1409
262.1 IPS |
|
|
Image Classification (HP)
|
100% |
266
49.5 IPS |
|
|
Image Classification (Q)
|
96% |
2277
425.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
630
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
499
8.08 IPS |
|
|
Image Segmentation (Q)
|
97% |
1853
30.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4571
5.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
3133
3.66 IPS |
|
|
Pose Estimation (Q)
|
86% |
5820
6.88 IPS |
|
|
Object Detection (SP)
|
100% |
836
66.3 IPS |
|
|
Object Detection (HP)
|
100% |
367
29.1 IPS |
|
|
Object Detection (Q)
|
58% |
1507
164.7 IPS |
|
|
Face Detection (SP)
|
100% |
2255
26.8 IPS |
|
|
Face Detection (HP)
|
100% |
792
9.41 IPS |
|
|
Face Detection (Q)
|
96% |
3903
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4154
32.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1159
8.93 IPS |
|
|
Depth Estimation (Q)
|
78% |
4620
36.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8919
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7884
10.1 IPS |
|
|
Style Transfer (Q)
|
87% |
6563
8.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1261
46.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
865
31.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2046
75.8 IPS |
|
|
Text Classification (SP)
|
100% |
784
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
343
458.0 IPS |
|
|
Text Classification (Q)
|
97% |
317
424.6 IPS |
|
|
Machine Translation (SP)
|
100% |
864
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
345
5.94 IPS |
|
|
Machine Translation (Q)
|
68% |
1131
21.8 IPS |
