QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
1838
Single Precision Score
567
Half Precision Score
2348
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | springkim |
| Upload Date | April 18 2025 06:30 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon Gold 5220 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Standard (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon Gold 5220 |
| Topology | 1 Processor, 64 Cores |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 64 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1163
216.2 IPS |
|
|
Image Classification (HP)
|
100% |
140
26.0 IPS |
|
|
Image Classification (Q)
|
99% |
2076
387.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
701
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
258
4.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
1108
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6586
7.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
3047
3.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
19784
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
1323
104.9 IPS |
|
|
Object Detection (HP)
|
100% |
206
16.4 IPS |
|
|
Object Detection (Q)
|
86% |
2350
188.9 IPS |
|
|
Face Detection (SP)
|
100% |
4286
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
474
5.63 IPS |
|
|
Face Detection (Q)
|
97% |
3502
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4951
38.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
780
6.01 IPS |
|
|
Depth Estimation (Q)
|
78% |
6029
48.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11482
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
6736
8.66 IPS |
|
|
Style Transfer (Q)
|
98% |
10113
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1039
38.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1132
41.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1056
39.1 IPS |
|
|
Text Classification (SP)
|
100% |
483
645.3 IPS |
|
|
Text Classification (HP)
|
100% |
243
324.3 IPS |
|
|
Text Classification (Q)
|
97% |
207
276.9 IPS |
|
|
Machine Translation (SP)
|
100% |
507
8.74 IPS |
|
|
Machine Translation (HP)
|
100% |
225
3.87 IPS |
|
|
Machine Translation (Q)
|
65% |
1023
20.6 IPS |
