Dell Precision 3660 Dell Inc. Precision 3660
Geekbench AI Score
2819
Single Precision Score
848
Half Precision Score
7347
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | enroscado |
| Upload Date | April 29 2025 04:34 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1651
307.0 IPS |
|
|
Image Classification (HP)
|
100% |
241
44.8 IPS |
|
|
Image Classification (Q)
|
97% |
7642
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1502
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
352
5.71 IPS |
|
|
Image Segmentation (Q)
|
99% |
3373
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4088
4.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
2985
3.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
20429
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
1786
141.7 IPS |
|
|
Object Detection (HP)
|
100% |
285
22.6 IPS |
|
|
Object Detection (Q)
|
86% |
6697
538.2 IPS |
|
|
Face Detection (SP)
|
100% |
3253
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
494
5.87 IPS |
|
|
Face Detection (Q)
|
97% |
16637
198.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5195
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1284
9.89 IPS |
|
|
Depth Estimation (Q)
|
78% |
13983
111.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10508
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7488
9.63 IPS |
|
|
Style Transfer (Q)
|
98% |
21210
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2239
82.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1602
59.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4588
169.9 IPS |
|
|
Text Classification (SP)
|
100% |
1636
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
631
841.9 IPS |
|
|
Text Classification (Q)
|
97% |
1589
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2696
46.4 IPS |
|
|
Machine Translation (HP)
|
100% |
556
9.58 IPS |
|
|
Machine Translation (Q)
|
65% |
3614
72.6 IPS |
