QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
997
Single Precision Score
552
Half Precision Score
1450
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| User | gmime |
| Upload Date | January 18 2026 12:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E3-12xx v2 (Ivy Bridge, IBRS) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2025 Datacenter (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-12xx v2 (Ivy Bridge, IBRS) |
| Topology | 4 Processors, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 15.62 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
599
111.3 IPS |
|
|
Image Classification (HP)
|
100% |
253
47.1 IPS |
|
|
Image Classification (Q)
|
96% |
996
186.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
494
8.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
409
6.63 IPS |
|
|
Image Segmentation (Q)
|
97% |
1271
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
973
1.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
976
1.14 IPS |
|
|
Pose Estimation (Q)
|
86% |
2564
3.03 IPS |
|
|
Object Detection (SP)
|
100% |
773
61.3 IPS |
|
|
Object Detection (HP)
|
100% |
279
22.1 IPS |
|
|
Object Detection (Q)
|
58% |
812
88.8 IPS |
|
|
Face Detection (SP)
|
100% |
1982
23.6 IPS |
|
|
Face Detection (HP)
|
100% |
769
9.14 IPS |
|
|
Face Detection (Q)
|
96% |
2251
26.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2041
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
737
5.68 IPS |
|
|
Depth Estimation (Q)
|
78% |
2581
20.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3712
4.77 IPS |
|
|
Style Transfer (HP)
|
100% |
2741
3.52 IPS |
|
|
Style Transfer (Q)
|
87% |
5287
6.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
724
26.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
575
21.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1191
44.1 IPS |
|
|
Text Classification (SP)
|
100% |
533
710.8 IPS |
|
|
Text Classification (HP)
|
100% |
273
364.2 IPS |
|
|
Text Classification (Q)
|
97% |
619
829.1 IPS |
|
|
Machine Translation (SP)
|
100% |
757
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
383
6.61 IPS |
|
|
Machine Translation (Q)
|
68% |
692
13.4 IPS |
