Dell Inc. Latitude 5440
Geekbench AI Score
2088
Single Precision Score
2096
Half Precision Score
4369
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Chris Sack |
| Upload Date | May 05 2025 04:37 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-1355U |
| 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% |
1188
220.9 IPS |
|
|
Image Classification (HP)
|
100% |
1238
230.3 IPS |
|
|
Image Classification (Q)
|
100% |
2754
512.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1577
25.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2867
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3071
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2798
3.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
7031
8.24 IPS |
|
|
Object Detection (SP)
|
100% |
1158
91.8 IPS |
|
|
Object Detection (HP)
|
100% |
1153
91.4 IPS |
|
|
Object Detection (Q)
|
88% |
2530
202.8 IPS |
|
|
Face Detection (SP)
|
100% |
2314
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
2613
31.0 IPS |
|
|
Face Detection (Q)
|
100% |
6833
81.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3436
26.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3401
26.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
7599
59.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8062
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8037
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
24554
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1462
54.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1382
51.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3344
123.8 IPS |
|
|
Text Classification (SP)
|
100% |
1423
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
1474
1.97 KIPS |
|
|
Text Classification (Q)
|
92% |
2183
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1758
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1789
30.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1940
33.4 IPS |
