Dell Inc. Latitude 5450
Geekbench AI Score
2112
Single Precision Score
966
Half Precision Score
3099
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 21 2024 03:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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. 0XD41K |
| Power Plan | Balanced |
| 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% |
1377
256.0 IPS |
|
|
Image Classification (HP)
|
100% |
386
71.9 IPS |
|
|
Image Classification (Q)
|
99% |
2507
467.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1140
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
691
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2210
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3527
4.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
2299
2.68 IPS |
|
|
Pose Estimation (Q)
|
95% |
13408
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1429
113.3 IPS |
|
|
Object Detection (HP)
|
100% |
490
38.9 IPS |
|
|
Object Detection (Q)
|
88% |
1112
89.1 IPS |
|
|
Face Detection (SP)
|
100% |
2325
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
1056
12.5 IPS |
|
|
Face Detection (Q)
|
97% |
3169
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4195
32.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1356
10.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
5576
44.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8888
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
5693
7.32 IPS |
|
|
Style Transfer (Q)
|
98% |
12998
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1686
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1081
39.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2396
88.7 IPS |
|
|
Text Classification (SP)
|
100% |
1210
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
532
709.9 IPS |
|
|
Text Classification (Q)
|
97% |
1131
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1266
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
504
8.68 IPS |
|
|
Machine Translation (Q)
|
60% |
1591
35.5 IPS |
