Upload Date | August 15 2024 02:57 PM |
Views | 2 |
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 |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
657
122.9 IPS |
|
Image Classification (F16)
|
100% |
665
124.4 IPS |
|
Image Classification (I8)
|
100% |
602
112.6 IPS |
|
Image Segmentation (F32)
|
100% |
822
13.7 IPS |
|
Image Segmentation (F16)
|
100% |
799
13.3 IPS |
|
Image Segmentation (I8)
|
98% |
727
12.1 IPS |
|
Pose Estimation (F32)
|
100% |
7331
8.88 IPS |
|
Pose Estimation (F16)
|
100% |
7362
8.92 IPS |
|
Pose Estimation (I8)
|
100% |
6514
7.89 IPS |
|
Object Detection (F32)
|
100% |
657
49.1 IPS |
|
Object Detection (F16)
|
100% |
653
48.8 IPS |
|
Object Detection (I8)
|
54% |
612
45.7 IPS |
|
Face Detection (F32)
|
100% |
962
11.4 IPS |
|
Face Detection (F16)
|
100% |
961
11.4 IPS |
|
Face Detection (I8)
|
89% |
857
10.2 IPS |
|
Depth Estimation (F32)
|
100% |
3879
30.1 IPS |
|
Depth Estimation (F16)
|
100% |
3855
29.9 IPS |
|
Depth Estimation (I8)
|
95% |
3368
26.1 IPS |
|
Style Transfer (F32)
|
100% |
20261
26.7 IPS |
|
Style Transfer (F16)
|
100% |
20739
27.3 IPS |
|
Style Transfer (I8)
|
98% |
16501
21.7 IPS |
|
Image Super-Resolution (F32)
|
100% |
3903
139.4 IPS |
|
Image Super-Resolution (F16)
|
100% |
3892
139.0 IPS |
|
Image Super-Resolution (I8)
|
99% |
2870
102.5 IPS |
|
Text Classification (F32)
|
90% |
679
976.5 IPS |
|
Text Classification (F16)
|
90% |
682
980.4 IPS |
|
Text Classification (I8)
|
90% |
470
676.0 IPS |
|
Machine Translation (F32)
|
100% |
997
18.4 IPS |
|
Machine Translation (F16)
|
100% |
1064
19.6 IPS |
|
Machine Translation (I8)
|
70% |
599
11.0 IPS |