Dell Inc. OptiPlex SFF 7020
Geekbench AI Score
3395
Single Precision Score
1306
Half Precision Score
5749
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | boriga7 |
| Upload Date | June 23 2025 01:57 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. OptiPlex SFF 7020 |
| Motherboard | Dell Inc. 0CXR46 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2609
485.1 IPS |
|
|
Image Classification (HP)
|
100% |
493
91.7 IPS |
|
|
Image Classification (Q)
|
99% |
5310
990.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1661
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
823
13.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2851
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5890
6.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
3634
4.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
18689
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
2329
184.7 IPS |
|
|
Object Detection (HP)
|
100% |
585
46.4 IPS |
|
|
Object Detection (Q)
|
86% |
5346
429.6 IPS |
|
|
Face Detection (SP)
|
100% |
5121
60.9 IPS |
|
|
Face Detection (HP)
|
100% |
1305
15.5 IPS |
|
|
Face Detection (Q)
|
97% |
8272
98.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7523
58.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1796
13.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
12763
101.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13528
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8832
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
15330
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2623
96.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1765
65.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3812
141.2 IPS |
|
|
Text Classification (SP)
|
100% |
1370
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
653
871.8 IPS |
|
|
Text Classification (Q)
|
97% |
1484
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1832
31.6 IPS |
|
|
Machine Translation (HP)
|
100% |
703
12.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2849
57.2 IPS |
