Dell Inc. Latitude 3140
Geekbench AI Score
1065
Single Precision Score
1636
Half Precision Score
2390
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | maf654321 |
| Upload Date | April 29 2025 09:46 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro N (64-bit) |
| Model | Dell Inc. Latitude 3140 |
| Motherboard | Dell Inc. 0NH985 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel N100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 800 MHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
688
127.9 IPS |
|
|
Image Classification (HP)
|
100% |
1162
216.1 IPS |
|
|
Image Classification (Q)
|
99% |
1648
307.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
975
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1769
28.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2197
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1585
1.85 IPS |
|
|
Pose Estimation (HP)
|
99% |
1359
1.59 IPS |
|
|
Pose Estimation (Q)
|
97% |
4664
5.46 IPS |
|
|
Object Detection (SP)
|
100% |
599
47.5 IPS |
|
|
Object Detection (HP)
|
99% |
1042
82.6 IPS |
|
|
Object Detection (Q)
|
90% |
1674
133.8 IPS |
|
|
Face Detection (SP)
|
100% |
2059
24.5 IPS |
|
|
Face Detection (HP)
|
100% |
3410
40.5 IPS |
|
|
Face Detection (Q)
|
100% |
4195
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1910
14.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3535
27.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
4611
35.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4483
5.76 IPS |
|
|
Style Transfer (HP)
|
100% |
7306
9.39 IPS |
|
|
Style Transfer (Q)
|
98% |
11485
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
801
29.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1365
50.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2342
86.7 IPS |
|
|
Text Classification (SP)
|
71% |
446
645.2 IPS |
|
|
Text Classification (HP)
|
71% |
547
791.9 IPS |
|
|
Text Classification (Q)
|
92% |
582
782.4 IPS |
|
|
Machine Translation (SP)
|
100% |
469
8.07 IPS |
|
|
Machine Translation (HP)
|
98% |
718
12.4 IPS |
|
|
Machine Translation (Q)
|
100% |
712
12.3 IPS |
