Dell Inc. Latitude 5420
Geekbench AI Score
1503
Single Precision Score
823
Half Precision Score
3386
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Chris Sack |
| Upload Date | May 05 2025 03:57 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Latitude 5420 |
| Motherboard | Dell Inc. 035X97 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 1.69 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
958
178.1 IPS |
|
|
Image Classification (HP)
|
100% |
328
61.0 IPS |
|
|
Image Classification (Q)
|
99% |
3430
639.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
673
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
494
8.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
2024
32.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2028
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1798
2.10 IPS |
|
|
Pose Estimation (Q)
|
94% |
8138
9.54 IPS |
|
|
Object Detection (SP)
|
100% |
1172
93.0 IPS |
|
|
Object Detection (HP)
|
100% |
410
32.5 IPS |
|
|
Object Detection (Q)
|
86% |
2624
210.9 IPS |
|
|
Face Detection (SP)
|
100% |
1927
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
820
9.74 IPS |
|
|
Face Detection (Q)
|
97% |
4896
58.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2988
23.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1216
9.37 IPS |
|
|
Depth Estimation (Q)
|
78% |
6645
53.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5398
6.94 IPS |
|
|
Style Transfer (HP)
|
100% |
4491
5.77 IPS |
|
|
Style Transfer (Q)
|
98% |
8558
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1057
39.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
938
34.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2332
86.4 IPS |
|
|
Text Classification (SP)
|
100% |
1048
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
618
824.4 IPS |
|
|
Text Classification (Q)
|
97% |
1251
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1119
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
463
7.97 IPS |
|
|
Machine Translation (Q)
|
65% |
1648
33.1 IPS |
