Dell Inc. Latitude 5440
Geekbench AI Score
3709
Single Precision Score
5406
Half Precision Score
8368
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Chris Sack |
| Upload Date | May 05 2025 04:42 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Latitude 5440 |
| Motherboard | Dell Inc. 03J519 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1355U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2279
423.7 IPS |
|
|
Image Classification (HP)
|
100% |
3582
666.1 IPS |
|
|
Image Classification (Q)
|
99% |
5209
971.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2894
46.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5500
89.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6432
104.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9240
10.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
7201
8.40 IPS |
|
|
Pose Estimation (Q)
|
97% |
29130
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
2412
191.3 IPS |
|
|
Object Detection (HP)
|
100% |
3396
269.4 IPS |
|
|
Object Detection (Q)
|
90% |
5206
416.3 IPS |
|
|
Face Detection (SP)
|
100% |
3885
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
7971
94.7 IPS |
|
|
Face Detection (Q)
|
100% |
13010
154.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7943
61.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13168
101.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
16897
131.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21377
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30891
39.7 IPS |
|
|
Style Transfer (Q)
|
98% |
63740
82.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3639
134.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6002
221.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11226
415.7 IPS |
|
|
Text Classification (SP)
|
71% |
1209
1.75 KIPS |
|
|
Text Classification (HP)
|
71% |
1424
2.06 KIPS |
|
|
Text Classification (Q)
|
92% |
1373
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1155
19.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1599
27.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1536
26.5 IPS |
