Dell Inc. OptiPlex 7010
Geekbench AI Score
829
Single Precision Score
459
Half Precision Score
873
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | darronb |
| Upload Date | December 28 2024 09:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-3770 |
| 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 i7-3770 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
646
120.2 IPS |
|
|
Image Classification (HP)
|
100% |
204
38.0 IPS |
|
|
Image Classification (Q)
|
96% |
657
122.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
415
6.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
286
4.63 IPS |
|
|
Image Segmentation (Q)
|
97% |
581
9.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
1067
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
863
1.01 IPS |
|
|
Pose Estimation (Q)
|
86% |
1191
1.41 IPS |
|
|
Object Detection (SP)
|
100% |
527
41.8 IPS |
|
|
Object Detection (HP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (Q)
|
58% |
452
49.4 IPS |
|
|
Face Detection (SP)
|
100% |
1229
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
569
6.76 IPS |
|
|
Face Detection (Q)
|
96% |
1316
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1447
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
657
5.06 IPS |
|
|
Depth Estimation (Q)
|
78% |
1398
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2578
3.31 IPS |
|
|
Style Transfer (HP)
|
100% |
2326
2.99 IPS |
|
|
Style Transfer (Q)
|
87% |
2640
3.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
585
21.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
509
18.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
605
22.4 IPS |
|
|
Text Classification (SP)
|
100% |
591
789.1 IPS |
|
|
Text Classification (HP)
|
100% |
284
379.5 IPS |
|
|
Text Classification (Q)
|
97% |
567
760.2 IPS |
|
|
Machine Translation (SP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.95 IPS |
|
|
Machine Translation (Q)
|
68% |
756
14.6 IPS |
