QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
10088
Single Precision Score
15919
Half Precision Score
7416
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | qcpi069 |
| Upload Date | April 20 2025 02:31 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | QEMU Virtual CPU version 2.5+ |
| Topology | 2 Processors, 64 Cores |
| Identifier | GenuineIntel Family 15 Model 107 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 64 Cores |
| Memory Information | |
|---|---|
| Size | 200.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3782
703.4 IPS |
|
|
Image Classification (HP)
|
100% |
5800
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
3190
593.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6976
113.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9118
147.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5781
94.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
53449
62.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
142298
166.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
45804
53.7 IPS |
|
|
Object Detection (SP)
|
100% |
5113
405.6 IPS |
|
|
Object Detection (HP)
|
100% |
7788
617.8 IPS |
|
|
Object Detection (Q)
|
84% |
4070
328.3 IPS |
|
|
Face Detection (SP)
|
100% |
12490
148.4 IPS |
|
|
Face Detection (HP)
|
100% |
18445
219.2 IPS |
|
|
Face Detection (Q)
|
97% |
10394
124.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
27178
209.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
49434
380.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
19588
157.1 IPS |
|
|
Style Transfer (SP)
|
100% |
94170
121.1 IPS |
|
|
Style Transfer (HP)
|
100% |
213446
274.4 IPS |
|
|
Style Transfer (Q)
|
98% |
78099
100.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13965
515.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22863
844.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9528
352.8 IPS |
|
|
Text Classification (SP)
|
100% |
1228
1.64 KIPS |
|
|
Text Classification (HP)
|
99% |
1483
1.98 KIPS |
|
|
Text Classification (Q)
|
97% |
780
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2764
47.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2704
46.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1240
23.3 IPS |
