Dell Inc. Latitude 7450 Ultra Performance Dell Inc. Latitude 7450
Geekbench AI Score
2384
Single Precision Score
1048
Half Precision Score
5057
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ChrisSack |
| Upload Date | March 04 2026 08:27 PM |
| Views | 15 |
| Notes | I changed the BIOS thermals setting to Ultra Performance. |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Latitude 7450 |
| Motherboard | Dell Inc. 0J4TJW |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155U |
| 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% |
1918
356.6 IPS |
|
|
Image Classification (HP)
|
100% |
498
92.6 IPS |
|
|
Image Classification (Q)
|
99% |
4206
784.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1071
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
707
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5619
91.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3580
4.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
2364
2.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
11855
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1672
132.6 IPS |
|
|
Object Detection (HP)
|
100% |
521
41.3 IPS |
|
|
Object Detection (Q)
|
86% |
3793
304.9 IPS |
|
|
Face Detection (SP)
|
100% |
4541
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
1189
14.1 IPS |
|
|
Face Detection (Q)
|
97% |
6865
81.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4465
34.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1444
11.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
10229
81.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8189
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
5261
6.76 IPS |
|
|
Style Transfer (Q)
|
98% |
13895
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1550
57.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1025
37.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3725
137.9 IPS |
|
|
Text Classification (SP)
|
100% |
1267
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
580
773.6 IPS |
|
|
Text Classification (Q)
|
97% |
1303
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1484
25.6 IPS |
|
|
Machine Translation (HP)
|
100% |
689
11.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2177
43.7 IPS |
