Desktop - Dell Inc. OptiPlex 9020 Dell Inc. OptiPlex 9020
Geekbench AI Score
1285
Single Precision Score
691
Half Precision Score
1321
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | kecskesajt |
| Upload Date | February 12 2025 02:48 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-4570 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 9020 |
| Motherboard | Dell Inc. 0N4YC8 |
| Power Plan | Kiegyenslyozott |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4570 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 20.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
988
183.7 IPS |
|
|
Image Classification (HP)
|
100% |
274
50.9 IPS |
|
|
Image Classification (Q)
|
96% |
1114
208.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
499
8.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
381
6.17 IPS |
|
|
Image Segmentation (Q)
|
97% |
833
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2384
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
1908
2.23 IPS |
|
|
Pose Estimation (Q)
|
86% |
2617
3.09 IPS |
|
|
Object Detection (SP)
|
100% |
916
72.6 IPS |
|
|
Object Detection (HP)
|
100% |
328
26.0 IPS |
|
|
Object Detection (Q)
|
58% |
782
85.5 IPS |
|
|
Face Detection (SP)
|
100% |
1296
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
665
7.90 IPS |
|
|
Face Detection (Q)
|
96% |
2368
28.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2717
20.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1017
7.84 IPS |
|
|
Depth Estimation (Q)
|
78% |
2781
22.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5047
6.49 IPS |
|
|
Style Transfer (HP)
|
100% |
4308
5.54 IPS |
|
|
Style Transfer (Q)
|
87% |
4661
6.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1013
37.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
906
33.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1000
37.1 IPS |
|
|
Text Classification (SP)
|
100% |
808
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
425
567.4 IPS |
|
|
Text Classification (Q)
|
97% |
311
416.1 IPS |
|
|
Machine Translation (SP)
|
100% |
784
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
341
5.88 IPS |
|
|
Machine Translation (Q)
|
68% |
899
17.4 IPS |
