Dell Precision 3660 Dell Inc. Precision 3660
Geekbench AI Score
6619
Single Precision Score
6606
Half Precision Score
14824
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | enroscado |
| Upload Date | April 29 2025 04:36 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-12700 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | Dell Inc. Precision 3660 |
| Motherboard | Dell Inc. 0J1C3P |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 4.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4076
758.1 IPS |
|
|
Image Classification (HP)
|
100% |
4074
757.7 IPS |
|
|
Image Classification (Q)
|
100% |
9014
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5238
84.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5238
84.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9644
156.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7819
9.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
7788
9.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
28263
33.1 IPS |
|
|
Object Detection (SP)
|
100% |
3886
308.2 IPS |
|
|
Object Detection (HP)
|
100% |
3879
307.7 IPS |
|
|
Object Detection (Q)
|
88% |
9716
778.9 IPS |
|
|
Face Detection (SP)
|
100% |
10017
119.0 IPS |
|
|
Face Detection (HP)
|
100% |
9948
118.2 IPS |
|
|
Face Detection (Q)
|
100% |
21164
251.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9827
75.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9905
76.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
25680
199.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22931
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23041
29.6 IPS |
|
|
Style Transfer (Q)
|
98% |
80377
103.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4970
183.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4987
184.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15248
564.7 IPS |
|
|
Text Classification (SP)
|
100% |
3651
4.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3617
4.83 KIPS |
|
|
Text Classification (Q)
|
92% |
5357
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
6079
104.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5997
103.3 IPS |
|
|
Machine Translation (Q)
|
100% |
6019
103.7 IPS |
