Dell Inc. Precision 3660
Geekbench AI Score
4581
Single Precision Score
4484
Half Precision Score
12129
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Skettalee |
| Upload Date | August 16 2024 01:13 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-12700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 3660 |
| Motherboard | Dell Inc. 0N0992 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3182
591.7 IPS |
|
|
Image Classification (HP)
|
100% |
1762
327.6 IPS |
|
|
Image Classification (Q)
|
100% |
7474
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2252
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3303
53.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6225
100.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7222
8.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
7221
8.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
26382
30.9 IPS |
|
|
Object Detection (SP)
|
100% |
3000
238.0 IPS |
|
|
Object Detection (HP)
|
100% |
2975
236.0 IPS |
|
|
Object Detection (Q)
|
88% |
7676
615.3 IPS |
|
|
Face Detection (SP)
|
100% |
6246
74.2 IPS |
|
|
Face Detection (HP)
|
100% |
6449
76.6 IPS |
|
|
Face Detection (Q)
|
100% |
18401
218.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8328
64.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
8410
64.8 IPS |
|
|
Depth Estimation (Q)
|
80% |
20963
166.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21445
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21430
27.5 IPS |
|
|
Style Transfer (Q)
|
98% |
73732
95.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4426
163.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4466
164.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13751
509.2 IPS |
|
|
Text Classification (SP)
|
100% |
1429
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
1367
1.82 KIPS |
|
|
Text Classification (Q)
|
92% |
3858
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3720
64.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3705
63.8 IPS |
|
|
Machine Translation (Q)
|
85% |
4847
84.8 IPS |
