Dell Inc. OptiPlex 7010
Geekbench AI Score
778
Single Precision Score
780
Half Precision Score
1120
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | darronb |
| Upload Date | December 24 2024 01:48 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-3470 CPU @ 3.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 7010 |
| Motherboard | Dell Inc. 0WR7PY |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-3470 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
418
77.8 IPS |
|
|
Image Classification (HP)
|
100% |
418
77.7 IPS |
|
|
Image Classification (Q)
|
100% |
728
135.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
622
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
622
10.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
874
14.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
705
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
705
0.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
1503
1.76 IPS |
|
|
Object Detection (SP)
|
100% |
406
32.2 IPS |
|
|
Object Detection (HP)
|
100% |
408
32.3 IPS |
|
|
Object Detection (Q)
|
87% |
731
58.6 IPS |
|
|
Face Detection (SP)
|
100% |
1322
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
1331
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
2066
24.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1352
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1354
10.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
1851
14.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1927
2.48 IPS |
|
|
Style Transfer (HP)
|
100% |
1932
2.48 IPS |
|
|
Style Transfer (Q)
|
98% |
4497
5.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
614
22.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
619
22.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
921
34.1 IPS |
|
|
Text Classification (SP)
|
100% |
723
964.6 IPS |
|
|
Text Classification (HP)
|
100% |
720
960.8 IPS |
|
|
Text Classification (Q)
|
91% |
397
533.3 IPS |
|
|
Machine Translation (SP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (Q)
|
100% |
709
12.2 IPS |
