Dell Inc. Latitude 7450
Geekbench AI Score
1729
Single Precision Score
7629
Half Precision Score
11575
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JoaoSchlemm |
| Upload Date | March 18 2025 05:38 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 7450 |
| Motherboard | Dell Inc. 0V31NP |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 165U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1079
200.6 IPS |
|
|
Image Classification (HP)
|
100% |
5254
977.0 IPS |
|
|
Image Classification (Q)
|
100% |
8048
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1561
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2260
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3208
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1547
1.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
24163
28.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
61091
71.6 IPS |
|
|
Object Detection (SP)
|
100% |
903
71.6 IPS |
|
|
Object Detection (HP)
|
100% |
4962
393.6 IPS |
|
|
Object Detection (Q)
|
87% |
7090
569.0 IPS |
|
|
Face Detection (SP)
|
100% |
3504
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
12448
147.9 IPS |
|
|
Face Detection (Q)
|
100% |
22678
269.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2994
23.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14440
111.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
25507
198.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6118
7.86 IPS |
|
|
Style Transfer (HP)
|
100% |
43797
56.3 IPS |
|
|
Style Transfer (Q)
|
98% |
68797
88.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1111
41.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9717
358.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14456
535.4 IPS |
|
|
Text Classification (SP)
|
100% |
988
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1652
2.20 KIPS |
|
|
Text Classification (Q)
|
92% |
1859
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1448
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3713
64.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3613
62.2 IPS |
