Dell Inc. Latitude E7440
Geekbench AI Score
810
Single Precision Score
803
Half Precision Score
863
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | yee245 |
| Upload Date | October 28 2025 09:15 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-4600U CPU @ 2.10GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. Latitude E7440 |
| Motherboard | Dell Inc. 07F3F4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4600U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 69 Stepping 1 |
| Base Frequency | 2.69 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
555
103.2 IPS |
|
|
Image Classification (HP)
|
100% |
561
104.4 IPS |
|
|
Image Classification (Q)
|
100% |
617
114.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
602
9.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
599
9.70 IPS |
|
|
Image Segmentation (Q)
|
99% |
700
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1074
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
964
1.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
1266
1.49 IPS |
|
|
Object Detection (SP)
|
100% |
527
41.8 IPS |
|
|
Object Detection (HP)
|
100% |
534
42.3 IPS |
|
|
Object Detection (Q)
|
87% |
634
50.9 IPS |
|
|
Face Detection (SP)
|
100% |
1337
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
1343
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
1740
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1415
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1420
10.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
1607
12.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3182
4.09 IPS |
|
|
Style Transfer (HP)
|
100% |
3174
4.08 IPS |
|
|
Style Transfer (Q)
|
98% |
3048
3.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
528
19.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
592
21.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
472
17.5 IPS |
|
|
Text Classification (SP)
|
100% |
395
527.5 IPS |
|
|
Text Classification (HP)
|
100% |
304
405.8 IPS |
|
|
Text Classification (Q)
|
91% |
198
266.6 IPS |
|
|
Machine Translation (SP)
|
100% |
517
8.91 IPS |
|
|
Machine Translation (HP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (Q)
|
100% |
837
14.4 IPS |
