Dell Precision 3660 Dell Inc. Precision 3660
Geekbench AI Score
2485
Single Precision Score
2376
Half Precision Score
1519
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | enroscado |
| Upload Date | April 29 2025 04:31 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core 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% |
1775
330.0 IPS |
|
|
Image Classification (HP)
|
100% |
1798
334.3 IPS |
|
|
Image Classification (Q)
|
99% |
1125
209.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2441
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2469
40.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1144
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3253
3.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
3241
3.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
3444
4.04 IPS |
|
|
Object Detection (SP)
|
100% |
2024
160.5 IPS |
|
|
Object Detection (HP)
|
100% |
1873
148.6 IPS |
|
|
Object Detection (Q)
|
85% |
1030
82.9 IPS |
|
|
Face Detection (SP)
|
100% |
3229
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
3236
38.5 IPS |
|
|
Face Detection (Q)
|
97% |
2496
29.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3019
23.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3004
23.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2093
19.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3764
4.84 IPS |
|
|
Style Transfer (HP)
|
100% |
3733
4.80 IPS |
|
|
Style Transfer (Q)
|
98% |
5791
7.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2348
86.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1923
71.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1653
61.2 IPS |
|
|
Text Classification (SP)
|
100% |
1507
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1326
1.77 KIPS |
|
|
Text Classification (Q)
|
92% |
474
636.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2427
41.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2302
39.6 IPS |
|
|
Machine Translation (Q)
|
58% |
606
14.2 IPS |
