Dell Inc. Latitude 7450
Geekbench AI Score
2214
Single Precision Score
937
Half Precision Score
4215
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | gesposito |
| Upload Date | January 15 2025 04:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 165U |
| 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% |
1772
329.5 IPS |
|
|
Image Classification (HP)
|
100% |
441
82.0 IPS |
|
|
Image Classification (Q)
|
99% |
3720
693.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
790
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
630
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1870
30.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3468
4.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2333
2.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
12782
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1699
134.7 IPS |
|
|
Object Detection (HP)
|
100% |
456
36.2 IPS |
|
|
Object Detection (Q)
|
86% |
3666
294.7 IPS |
|
|
Face Detection (SP)
|
100% |
4490
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
1080
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
5837
69.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4572
35.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1391
10.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
9254
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8012
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
5573
7.16 IPS |
|
|
Style Transfer (Q)
|
98% |
14017
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1561
57.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1095
40.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2617
96.9 IPS |
|
|
Text Classification (SP)
|
100% |
1042
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
435
581.1 IPS |
|
|
Text Classification (Q)
|
97% |
1455
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1287
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
445
7.67 IPS |
|
|
Machine Translation (Q)
|
65% |
1884
37.9 IPS |
