Dell Inc. Latitude 5450
Geekbench AI Score
2521
Single Precision Score
2496
Half Precision Score
6148
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 15 2025 04:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 135U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 5450 |
| Motherboard | Dell Inc. 00Y01Y |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 135U |
| 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% |
1375
255.7 IPS |
|
|
Image Classification (HP)
|
100% |
1369
254.6 IPS |
|
|
Image Classification (Q)
|
100% |
4117
765.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1912
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1908
30.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4015
65.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3430
4.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
3247
3.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
11679
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1361
108.0 IPS |
|
|
Object Detection (HP)
|
100% |
1364
108.2 IPS |
|
|
Object Detection (Q)
|
88% |
4140
331.9 IPS |
|
|
Face Detection (SP)
|
100% |
3555
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
3540
42.1 IPS |
|
|
Face Detection (Q)
|
100% |
8684
103.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4075
31.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4094
31.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
10101
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9905
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9843
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
29775
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1576
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1540
56.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5383
199.4 IPS |
|
|
Text Classification (SP)
|
100% |
1609
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1593
2.13 KIPS |
|
|
Text Classification (Q)
|
92% |
2946
3.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2323
40.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2319
39.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2334
40.2 IPS |
