Dell Inc. Precision 3280 Compact
Geekbench AI Score
4350
Single Precision Score
1419
Half Precision Score
6842
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | khdhmnyu |
| Upload Date | April 05 2025 08:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Dell Inc. Precision 3280 Compact |
| Motherboard | Dell Inc. 0H1DC6 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3869
719.4 IPS |
|
|
Image Classification (HP)
|
100% |
512
95.2 IPS |
|
|
Image Classification (Q)
|
99% |
7076
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2173
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
981
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3822
62.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8160
9.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
4300
5.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
24361
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
3217
255.2 IPS |
|
|
Object Detection (HP)
|
100% |
662
52.5 IPS |
|
|
Object Detection (Q)
|
86% |
6740
541.7 IPS |
|
|
Face Detection (SP)
|
100% |
8672
103.0 IPS |
|
|
Face Detection (HP)
|
100% |
1529
18.2 IPS |
|
|
Face Detection (Q)
|
97% |
8549
101.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8772
67.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1919
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
14434
115.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17726
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10456
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
22083
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2987
110.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1633
60.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4053
150.1 IPS |
|
|
Text Classification (SP)
|
100% |
1664
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
718
958.4 IPS |
|
|
Text Classification (Q)
|
97% |
1432
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1642
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
647
11.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3204
64.4 IPS |
