Dell Inc. Precision 3660
Geekbench AI Score
128
Single Precision Score
129
Half Precision Score
90
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| Upload Date | December 17 2024 04:05 PM |
| Views | 12 |
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% |
73
13.6 IPS |
|
|
Image Classification (HP)
|
100% |
75
13.9 IPS |
|
|
Image Classification (Q)
|
97% |
54
10.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
96
1.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
100
1.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
76
1.24 IPS |
|
|
Pose Estimation (SP)
|
100% |
121
0.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
120
0.14 IPS |
|
|
Pose Estimation (Q)
|
96% |
93
0.11 IPS |
|
|
Object Detection (SP)
|
100% |
71
5.65 IPS |
|
|
Object Detection (HP)
|
100% |
72
5.68 IPS |
|
|
Object Detection (Q)
|
87% |
53
4.26 IPS |
|
|
Face Detection (SP)
|
100% |
230
2.73 IPS |
|
|
Face Detection (HP)
|
100% |
230
2.74 IPS |
|
|
Face Detection (Q)
|
97% |
172
2.06 IPS |
|
|
Depth Estimation (SP)
|
100% |
171
1.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
169
1.30 IPS |
|
|
Depth Estimation (Q)
|
64% |
110
1.02 IPS |
|
|
Style Transfer (SP)
|
100% |
364
0.47 IPS |
|
|
Style Transfer (HP)
|
100% |
365
0.47 IPS |
|
|
Style Transfer (Q)
|
98% |
291
0.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
81
3.00 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
81
3.00 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
60
2.23 IPS |
|
|
Text Classification (SP)
|
100% |
95
127.2 IPS |
|
|
Text Classification (HP)
|
100% |
97
129.4 IPS |
|
|
Text Classification (Q)
|
91% |
66
88.5 IPS |
|
|
Machine Translation (SP)
|
100% |
183
3.15 IPS |
|
|
Machine Translation (HP)
|
100% |
183
3.15 IPS |
|
|
Machine Translation (Q)
|
58% |
80
1.91 IPS |
