Dell Inc. Latitude 3380
Geekbench AI Score
176
Single Precision Score
131
Half Precision Score
301
Quantized Score
Geekbench AI 1.4.0 Corporate for Windows x86 (64-bit)
Result Information
| Upload Date | August 24 2025 11:30 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Celeron 3865U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Latitude 3380 |
| Motherboard | Dell Inc. 0WVP37 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Celeron 3865U |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
104
19.4 IPS |
|
|
Image Classification (HP)
|
100% |
64
11.8 IPS |
|
|
Image Classification (Q)
|
96% |
211
39.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
105
1.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
90
1.47 IPS |
|
|
Image Segmentation (Q)
|
97% |
203
3.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
184
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
173
0.20 IPS |
|
|
Pose Estimation (Q)
|
86% |
440
0.52 IPS |
|
|
Object Detection (SP)
|
100% |
103
8.21 IPS |
|
|
Object Detection (HP)
|
100% |
70
5.58 IPS |
|
|
Object Detection (Q)
|
58% |
149
16.3 IPS |
|
|
Face Detection (SP)
|
100% |
328
3.90 IPS |
|
|
Face Detection (HP)
|
100% |
189
2.25 IPS |
|
|
Face Detection (Q)
|
96% |
455
5.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
261
2.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
186
1.44 IPS |
|
|
Depth Estimation (Q)
|
78% |
475
3.78 IPS |
|
|
Style Transfer (SP)
|
100% |
503
0.65 IPS |
|
|
Style Transfer (HP)
|
100% |
493
0.63 IPS |
|
|
Style Transfer (Q)
|
87% |
953
1.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
113
4.16 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
105
3.88 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
251
9.29 IPS |
|
|
Text Classification (SP)
|
100% |
131
174.8 IPS |
|
|
Text Classification (HP)
|
100% |
99
131.8 IPS |
|
|
Text Classification (Q)
|
97% |
119
159.3 IPS |
|
|
Machine Translation (SP)
|
100% |
225
3.87 IPS |
|
|
Machine Translation (HP)
|
100% |
120
2.07 IPS |
|
|
Machine Translation (Q)
|
68% |
354
6.84 IPS |
