Dell Inc. OptiPlex 7010
Geekbench AI Score
955
Single Precision Score
513
Half Precision Score
880
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | darronb |
| Upload Date | December 24 2024 01:31 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-3470 |
| 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% |
691
128.4 IPS |
|
|
Image Classification (HP)
|
100% |
220
41.0 IPS |
|
|
Image Classification (Q)
|
96% |
645
120.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
449
7.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (Q)
|
97% |
554
9.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
1380
1.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
1071
1.25 IPS |
|
|
Pose Estimation (Q)
|
86% |
1248
1.48 IPS |
|
|
Object Detection (SP)
|
100% |
659
52.3 IPS |
|
|
Object Detection (HP)
|
100% |
262
20.8 IPS |
|
|
Object Detection (Q)
|
58% |
469
51.2 IPS |
|
|
Face Detection (SP)
|
100% |
1434
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
604
7.18 IPS |
|
|
Face Detection (Q)
|
96% |
1358
16.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1738
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
772
5.95 IPS |
|
|
Depth Estimation (Q)
|
78% |
1431
11.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3267
4.20 IPS |
|
|
Style Transfer (HP)
|
100% |
2713
3.49 IPS |
|
|
Style Transfer (Q)
|
87% |
2763
3.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
680
25.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
588
21.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
630
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
552
736.5 IPS |
|
|
Text Classification (HP)
|
100% |
290
387.4 IPS |
|
|
Text Classification (Q)
|
97% |
520
697.2 IPS |
|
|
Machine Translation (SP)
|
100% |
737
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
306
5.27 IPS |
|
|
Machine Translation (Q)
|
68% |
759
14.7 IPS |
