Dell Inc. Latitude 7450
Geekbench AI Score
12732
Single Precision Score
18750
Half Precision Score
10745
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | gesposito |
| Upload Date | August 13 2025 02:08 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| 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(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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4899
911.1 IPS |
|
|
Image Classification (HP)
|
99% |
6875
1.28 KIPS |
|
|
Image Classification (Q)
|
99% |
4489
837.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7115
115.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8438
136.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6777
110.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
81242
94.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
203016
236.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
71876
84.2 IPS |
|
|
Object Detection (SP)
|
100% |
6023
477.8 IPS |
|
|
Object Detection (HP)
|
100% |
8295
657.9 IPS |
|
|
Object Detection (Q)
|
84% |
5471
441.3 IPS |
|
|
Face Detection (SP)
|
100% |
13517
160.6 IPS |
|
|
Face Detection (HP)
|
100% |
17841
212.0 IPS |
|
|
Face Detection (Q)
|
97% |
12685
151.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
36953
284.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
62915
484.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
31306
250.4 IPS |
|
|
Style Transfer (SP)
|
100% |
126284
162.3 IPS |
|
|
Style Transfer (HP)
|
100% |
278182
357.6 IPS |
|
|
Style Transfer (Q)
|
98% |
117107
151.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23174
855.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33408
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18482
684.4 IPS |
|
|
Text Classification (SP)
|
100% |
2117
2.83 KIPS |
|
|
Text Classification (HP)
|
99% |
2390
3.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1507
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2121
36.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2205
38.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1324
24.8 IPS |
