Dell Inc. Latitude 7450 Ultra Performance Dell Inc. Latitude 7450
Geekbench AI Score
2174
Single Precision Score
2181
Half Precision Score
5285
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ChrisSack |
| Upload Date | March 04 2026 08:30 PM |
| Views | 10 |
| Notes | I changed the BIOS thermals setting to Ultra Performance. |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
1362
253.4 IPS |
|
|
Image Classification (HP)
|
100% |
1358
252.5 IPS |
|
|
Image Classification (Q)
|
100% |
4405
819.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1955
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2031
32.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4118
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2693
3.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
2684
3.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
9673
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1018
80.7 IPS |
|
|
Object Detection (HP)
|
100% |
1048
83.1 IPS |
|
|
Object Detection (Q)
|
88% |
2883
231.1 IPS |
|
|
Face Detection (SP)
|
100% |
3479
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
3615
43.0 IPS |
|
|
Face Detection (Q)
|
100% |
6745
80.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2898
22.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2965
22.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
8212
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7865
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7623
9.80 IPS |
|
|
Style Transfer (Q)
|
98% |
22139
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1409
52.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1370
50.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5227
193.6 IPS |
|
|
Text Classification (SP)
|
100% |
1489
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
1468
1.96 KIPS |
|
|
Text Classification (Q)
|
92% |
2820
3.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1948
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1915
33.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1862
32.1 IPS |
