Dell Inc. Latitude 7450
Geekbench AI Score
2170
Single Precision Score
981
Half Precision Score
4759
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | March 05 2026 09:12 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 165U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Latitude 7450 |
| Motherboard | Dell Inc. 08WXHG |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1789
332.6 IPS |
|
|
Image Classification (HP)
|
100% |
446
82.9 IPS |
|
|
Image Classification (Q)
|
99% |
3708
691.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
703
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
651
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5135
83.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3582
4.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
2382
2.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
13217
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1714
136.0 IPS |
|
|
Object Detection (HP)
|
100% |
554
43.9 IPS |
|
|
Object Detection (Q)
|
86% |
3979
319.8 IPS |
|
|
Face Detection (SP)
|
100% |
4733
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
940
11.2 IPS |
|
|
Face Detection (Q)
|
97% |
6039
72.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4328
33.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1435
11.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
10246
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8160
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
4869
6.26 IPS |
|
|
Style Transfer (Q)
|
98% |
13762
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1415
52.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1086
40.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3617
133.9 IPS |
|
|
Text Classification (SP)
|
100% |
1074
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
478
637.7 IPS |
|
|
Text Classification (Q)
|
97% |
1083
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1181
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
637
11.0 IPS |
|
|
Machine Translation (Q)
|
65% |
1786
35.9 IPS |
