Dell Inc. Precision 3460
Geekbench AI Score
5581
Single Precision Score
5564
Half Precision Score
13148
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 11 2024 08:41 PM |
| Views | 15 |
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 3460 |
| Motherboard | Dell Inc. 08WXMX |
| Power Plan | Balanced |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3837
713.6 IPS |
|
|
Image Classification (HP)
|
100% |
3846
715.3 IPS |
|
|
Image Classification (Q)
|
100% |
7615
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4124
66.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4142
67.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7015
113.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7709
9.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
7745
9.04 IPS |
|
|
Pose Estimation (Q)
|
96% |
27836
32.6 IPS |
|
|
Object Detection (SP)
|
100% |
3607
286.1 IPS |
|
|
Object Detection (HP)
|
100% |
3589
284.7 IPS |
|
|
Object Detection (Q)
|
88% |
8594
688.9 IPS |
|
|
Face Detection (SP)
|
100% |
9105
108.2 IPS |
|
|
Face Detection (HP)
|
100% |
8933
106.1 IPS |
|
|
Face Detection (Q)
|
100% |
20698
245.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9851
75.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
9763
75.2 IPS |
|
|
Depth Estimation (Q)
|
80% |
23054
182.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22922
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23026
29.6 IPS |
|
|
Style Transfer (Q)
|
98% |
78247
100.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4844
178.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4810
177.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14605
540.9 IPS |
|
|
Text Classification (SP)
|
100% |
1517
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1506
2.01 KIPS |
|
|
Text Classification (Q)
|
92% |
4132
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4418
76.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4418
76.1 IPS |
|
|
Machine Translation (Q)
|
85% |
5363
93.8 IPS |
