QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
3081
Single Precision Score
3063
Half Precision Score
5378
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | springkim |
| Upload Date | April 18 2025 06:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) Gold 5220 CPU @ 2.20GHz |
| 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% |
1459
271.3 IPS |
|
|
Image Classification (HP)
|
100% |
1573
292.5 IPS |
|
|
Image Classification (Q)
|
100% |
2846
529.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3189
51.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3316
53.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7405
120.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9792
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
9575
11.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
31644
37.1 IPS |
|
|
Object Detection (SP)
|
100% |
1656
131.4 IPS |
|
|
Object Detection (HP)
|
100% |
1767
140.2 IPS |
|
|
Object Detection (Q)
|
88% |
2654
212.7 IPS |
|
|
Face Detection (SP)
|
100% |
5539
65.8 IPS |
|
|
Face Detection (HP)
|
100% |
5026
59.7 IPS |
|
|
Face Detection (Q)
|
100% |
11810
140.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6235
48.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5738
44.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
10068
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24115
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23996
30.8 IPS |
|
|
Style Transfer (Q)
|
98% |
65905
85.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3438
126.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3355
123.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4162
154.1 IPS |
|
|
Text Classification (SP)
|
100% |
581
775.2 IPS |
|
|
Text Classification (HP)
|
100% |
584
779.1 IPS |
|
|
Text Classification (Q)
|
92% |
574
770.6 IPS |
|
|
Machine Translation (SP)
|
100% |
616
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
608
10.5 IPS |
|
|
Machine Translation (Q)
|
100% |
611
10.5 IPS |
