Dell Inc. Latitude 5450
Geekbench AI Score
2186
Single Precision Score
985
Half Precision Score
3559
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 21 2024 02:10 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% |
1410
262.1 IPS |
|
|
Image Classification (HP)
|
100% |
382
71.0 IPS |
|
|
Image Classification (Q)
|
99% |
2477
461.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1012
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
775
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2674
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3861
4.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
2347
2.74 IPS |
|
|
Pose Estimation (Q)
|
95% |
13812
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1425
113.0 IPS |
|
|
Object Detection (HP)
|
100% |
460
36.5 IPS |
|
|
Object Detection (Q)
|
88% |
1330
106.6 IPS |
|
|
Face Detection (SP)
|
100% |
2475
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
1166
13.9 IPS |
|
|
Face Detection (Q)
|
97% |
3422
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4318
33.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1454
11.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
5918
47.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9247
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
5627
7.23 IPS |
|
|
Style Transfer (Q)
|
98% |
14473
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1718
63.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1098
40.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3166
117.2 IPS |
|
|
Text Classification (SP)
|
100% |
1296
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
416
554.9 IPS |
|
|
Text Classification (Q)
|
97% |
1509
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1447
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
621
10.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1917
42.8 IPS |
