Dell Inc. Latitude 7450
Geekbench AI Score
3428
Single Precision Score
5682
Half Precision Score
8345
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JoaoSchlemm |
| Upload Date | March 18 2025 05:35 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3249
604.2 IPS |
|
|
Image Classification (HP)
|
100% |
4520
840.6 IPS |
|
|
Image Classification (Q)
|
100% |
5319
989.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2790
45.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5451
88.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8592
139.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6078
7.09 IPS |
|
|
Pose Estimation (HP)
|
99% |
7359
8.61 IPS |
|
|
Pose Estimation (Q)
|
97% |
16925
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
1750
138.8 IPS |
|
|
Object Detection (HP)
|
100% |
3399
269.6 IPS |
|
|
Object Detection (Q)
|
88% |
5818
466.3 IPS |
|
|
Face Detection (SP)
|
100% |
4838
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
7559
89.8 IPS |
|
|
Face Detection (Q)
|
100% |
11964
142.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7540
58.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13035
100.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
14095
109.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20277
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29209
37.5 IPS |
|
|
Style Transfer (Q)
|
98% |
59048
76.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3497
129.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6778
250.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9755
361.3 IPS |
|
|
Text Classification (SP)
|
71% |
612
884.7 IPS |
|
|
Text Classification (HP)
|
71% |
1570
2.27 KIPS |
|
|
Text Classification (Q)
|
92% |
2086
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1470
25.3 IPS |
|
|
Machine Translation (HP)
|
96% |
1859
32.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1797
31.0 IPS |
