Dell Inc. Latitude 5450
Geekbench ML Score
1742
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 02:51 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 5450 |
| Motherboard | Dell Inc. 04MMMW |
| 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 |
| L1 Instruction Cache | 64.0 KB x 7 |
| L1 Data Cache | 48.0 KB x 7 |
| L2 Cache | 2.00 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
657
123.0 IPS |
|
|
Image Classification (F16)
|
100% |
652
122.0 IPS |
|
|
Image Classification (I8)
|
100% |
596
111.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
818
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
802
13.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
710
11.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
7186
8.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
7118
8.62 IPS |
|
|
Pose Estimation (I8)
|
100% |
6491
7.86 IPS |
|
|
Object Detection (F32)
|
100% |
651
48.6 IPS |
|
|
Object Detection (F16)
|
100% |
658
49.1 IPS |
|
|
Object Detection (I8)
|
54% |
592
44.2 IPS |
|
|
Face Detection (F32)
|
100% |
955
11.4 IPS |
|
|
Face Detection (F16)
|
100% |
961
11.4 IPS |
|
|
Face Detection (I8)
|
89% |
859
10.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
3819
29.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
3814
29.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
3328
25.8 IPS |
|
|
Style Transfer (F32)
|
100% |
19891
26.2 IPS |
|
|
Style Transfer (F16)
|
100% |
20484
26.9 IPS |
|
|
Style Transfer (I8)
|
98% |
16123
21.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4087
146.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4069
145.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2815
100.5 IPS |
|
|
Text Classification (F32)
|
90% |
690
992.1 IPS |
|
|
Text Classification (F16)
|
90% |
689
990.0 IPS |
|
|
Text Classification (I8)
|
90% |
482
692.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1053
19.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1012
18.6 IPS |
|
|
Machine Translation (I8)
|
70% |
603
11.1 IPS |
