QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
2139
Single Precision Score
2154
Half Precision Score
2291
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | LessPlum3393 |
| Upload Date | February 13 2026 08:39 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2667 v4 @ 3.20GHz |
| 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% |
1214
225.7 IPS |
|
|
Image Classification (HP)
|
100% |
1281
238.1 IPS |
|
|
Image Classification (Q)
|
100% |
1385
257.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1735
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1608
26.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1788
29.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2668
3.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
2817
3.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
3695
4.33 IPS |
|
|
Object Detection (SP)
|
100% |
1450
115.0 IPS |
|
|
Object Detection (HP)
|
100% |
1421
112.7 IPS |
|
|
Object Detection (Q)
|
87% |
1642
131.7 IPS |
|
|
Face Detection (SP)
|
100% |
2863
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
3219
38.2 IPS |
|
|
Face Detection (Q)
|
97% |
4412
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3146
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3089
23.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
3863
30.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8718
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8766
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
10711
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1741
64.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1755
64.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2074
76.8 IPS |
|
|
Text Classification (SP)
|
100% |
1138
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1314
1.75 KIPS |
|
|
Text Classification (Q)
|
91% |
543
730.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1588
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1299
22.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1290
22.2 IPS |
