QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
9451
Single Precision Score
7613
Half Precision Score
7026
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | LessPlum3393 |
| Upload Date | February 13 2026 08:31 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 SUPER |
| 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% |
3791
705.1 IPS |
|
|
Image Classification (HP)
|
100% |
3537
657.7 IPS |
|
|
Image Classification (Q)
|
99% |
3118
581.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6898
111.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5638
91.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5843
95.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
39857
46.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
24500
28.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
35753
41.9 IPS |
|
|
Object Detection (SP)
|
100% |
4780
379.1 IPS |
|
|
Object Detection (HP)
|
100% |
4421
350.7 IPS |
|
|
Object Detection (Q)
|
83% |
3967
320.5 IPS |
|
|
Face Detection (SP)
|
100% |
10950
130.1 IPS |
|
|
Face Detection (HP)
|
100% |
9229
109.7 IPS |
|
|
Face Detection (Q)
|
97% |
9506
113.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
23681
182.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17342
133.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
17758
141.7 IPS |
|
|
Style Transfer (SP)
|
100% |
71725
92.2 IPS |
|
|
Style Transfer (HP)
|
100% |
48684
62.6 IPS |
|
|
Style Transfer (Q)
|
98% |
62311
80.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14007
517.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10701
395.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9332
345.6 IPS |
|
|
Text Classification (SP)
|
100% |
1436
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
1180
1.58 KIPS |
|
|
Text Classification (Q)
|
97% |
895
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3051
52.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3078
53.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1292
24.2 IPS |
