Dell Inc. Precision 3280 Compact
Geekbench AI Score
1832
Single Precision Score
1881
Half Precision Score
1208
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | khdhmnyu |
| Upload Date | April 05 2025 08:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| 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% |
755
140.5 IPS |
|
|
Image Classification (HP)
|
100% |
770
143.2 IPS |
|
|
Image Classification (Q)
|
100% |
631
117.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1066
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1204
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
810
13.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5487
6.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
6031
7.04 IPS |
|
|
Pose Estimation (Q)
|
96% |
3665
4.29 IPS |
|
|
Object Detection (SP)
|
100% |
858
68.0 IPS |
|
|
Object Detection (HP)
|
98% |
737
58.6 IPS |
|
|
Object Detection (Q)
|
86% |
721
58.0 IPS |
|
|
Face Detection (SP)
|
100% |
1736
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
1876
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
1280
15.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3217
24.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3507
27.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
2366
19.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11132
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14842
19.1 IPS |
|
|
Style Transfer (Q)
|
98% |
8263
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1905
70.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2638
97.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
969
35.9 IPS |
|
|
Text Classification (SP)
|
100% |
852
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
496
661.8 IPS |
|
|
Text Classification (Q)
|
97% |
422
565.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1117
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1057
18.2 IPS |
|
|
Machine Translation (Q)
|
70% |
481
9.03 IPS |
