Dell Inc. Precision 3660
Geekbench AI Score
6044
Single Precision Score
6106
Half Precision Score
14064
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Goku_is_Gei |
| Upload Date | October 01 2024 03:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Dell Inc. Precision 3660 |
| Motherboard | Dell Inc. 0VJ7G2 |
| Power Plan | Free i9 performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700 |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4247
789.8 IPS |
|
|
Image Classification (HP)
|
100% |
4256
791.4 IPS |
|
|
Image Classification (Q)
|
100% |
8922
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4801
77.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4831
78.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8109
131.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7845
9.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
8047
9.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
28764
33.7 IPS |
|
|
Object Detection (SP)
|
100% |
3829
303.7 IPS |
|
|
Object Detection (HP)
|
100% |
3829
303.7 IPS |
|
|
Object Detection (Q)
|
88% |
8762
702.3 IPS |
|
|
Face Detection (SP)
|
100% |
11514
136.8 IPS |
|
|
Face Detection (HP)
|
100% |
11265
133.9 IPS |
|
|
Face Detection (Q)
|
100% |
23011
273.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9827
75.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9892
76.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
26002
202.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23347
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23732
30.5 IPS |
|
|
Style Transfer (Q)
|
98% |
79428
102.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5332
196.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5447
201.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16439
608.8 IPS |
|
|
Text Classification (SP)
|
100% |
1636
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
1709
2.28 KIPS |
|
|
Text Classification (Q)
|
92% |
4582
6.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4611
79.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4621
79.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4640
79.9 IPS |
