Dell Inc. Latitude 7450 Ultra Performance Dell Inc. Latitude 7450
Geekbench AI Score
5140
Single Precision Score
8242
Half Precision Score
12706
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ChrisSack |
| Upload Date | March 04 2026 08:52 PM |
| Views | 9 |
| Notes | I changed the BIOS thermals setting to Ultra Performance. |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3418
635.7 IPS |
|
|
Image Classification (HP)
|
100% |
5438
1.01 KIPS |
|
|
Image Classification (Q)
|
100% |
7169
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3632
58.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7932
128.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10832
175.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10778
12.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
10496
12.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
36826
43.1 IPS |
|
|
Object Detection (SP)
|
100% |
3017
239.3 IPS |
|
|
Object Detection (HP)
|
100% |
5281
418.9 IPS |
|
|
Object Detection (Q)
|
88% |
8348
669.0 IPS |
|
|
Face Detection (SP)
|
100% |
7518
89.3 IPS |
|
|
Face Detection (HP)
|
100% |
14849
176.4 IPS |
|
|
Face Detection (Q)
|
100% |
23227
276.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10541
81.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
17538
135.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
23308
181.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29047
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36434
46.8 IPS |
|
|
Style Transfer (Q)
|
98% |
88994
114.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4517
166.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8041
296.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12259
454.0 IPS |
|
|
Text Classification (SP)
|
71% |
1296
1.87 KIPS |
|
|
Text Classification (HP)
|
71% |
2463
3.56 KIPS |
|
|
Text Classification (Q)
|
92% |
2350
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2367
40.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3221
55.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3310
57.2 IPS |
