Dell Inc. Latitude 7450
Geekbench AI Score
1641
Single Precision Score
3885
Half Precision Score
1234
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 22 2025 03:03 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (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% |
733
136.3 IPS |
|
|
Image Classification (HP)
|
100% |
2841
528.4 IPS |
|
|
Image Classification (Q)
|
100% |
653
121.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
847
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4558
73.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
763
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7354
8.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
9249
10.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
5082
5.96 IPS |
|
|
Object Detection (SP)
|
100% |
459
36.4 IPS |
|
|
Object Detection (HP)
|
99% |
2377
189.0 IPS |
|
|
Object Detection (Q)
|
86% |
448
36.0 IPS |
|
|
Face Detection (SP)
|
100% |
711
8.45 IPS |
|
|
Face Detection (HP)
|
100% |
4269
50.7 IPS |
|
|
Face Detection (Q)
|
97% |
710
8.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
2571
19.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9857
76.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
2146
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14503
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21174
27.2 IPS |
|
|
Style Transfer (Q)
|
98% |
11639
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3153
116.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4244
156.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2295
85.0 IPS |
|
|
Text Classification (SP)
|
86% |
529
715.2 IPS |
|
|
Text Classification (HP)
|
99% |
506
675.5 IPS |
|
|
Text Classification (Q)
|
84% |
425
577.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1535
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1441
24.8 IPS |
|
|
Machine Translation (Q)
|
70% |
419
7.85 IPS |
