QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
9984
Single Precision Score
15819
Half Precision Score
7282
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | qcpi069 |
| Upload Date | April 19 2025 06:45 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% |
3735
694.6 IPS |
|
|
Image Classification (HP)
|
100% |
5716
1.06 KIPS |
|
|
Image Classification (Q)
|
100% |
3068
570.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6958
112.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9246
149.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5761
93.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
54229
63.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
143068
166.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
45890
53.8 IPS |
|
|
Object Detection (SP)
|
100% |
5000
396.6 IPS |
|
|
Object Detection (HP)
|
100% |
7849
622.6 IPS |
|
|
Object Detection (Q)
|
84% |
4044
326.2 IPS |
|
|
Face Detection (SP)
|
100% |
12398
147.3 IPS |
|
|
Face Detection (HP)
|
100% |
18351
218.0 IPS |
|
|
Face Detection (Q)
|
97% |
10280
122.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
27012
208.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
48292
372.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
19088
153.1 IPS |
|
|
Style Transfer (SP)
|
100% |
94574
121.6 IPS |
|
|
Style Transfer (HP)
|
100% |
210680
270.8 IPS |
|
|
Style Transfer (Q)
|
98% |
78217
100.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14310
528.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22809
842.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9320
345.1 IPS |
|
|
Text Classification (SP)
|
100% |
1146
1.53 KIPS |
|
|
Text Classification (HP)
|
99% |
1468
1.96 KIPS |
|
|
Text Classification (Q)
|
97% |
729
976.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2689
46.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2646
45.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1227
23.0 IPS |
