Upload Date | July 18 2024 08:38 PM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 16.3.1 |
Model | iPhone 14 |
Model ID | iPhone14,7 |
Motherboard | D27AP |
CPU Information | |
---|---|
Name | Apple A15 Bionic |
Topology | 1 Processor, 6 Cores |
Identifier | ARM |
Base Frequency | 3.23 GHz |
Cluster 1 | 2 Cores |
Cluster 2 | 4 Cores |
L1 Instruction Cache | 128 KB x 1 |
L1 Data Cache | 64.0 KB x 1 |
L2 Cache | 4.00 MB x 1 |
Memory Information | |
---|---|
Size | 5.56 GB |
Inference Information | |
---|---|
Framework | Core ML |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
945
176.7 IPS |
|
Image Classification (F16)
|
100% |
906
169.5 IPS |
|
Image Classification (I8)
|
99% |
909
170.1 IPS |
|
Image Segmentation (F32)
|
100% |
588
9.82 IPS |
|
Image Segmentation (F16)
|
100% |
526
8.79 IPS |
|
Image Segmentation (I8)
|
100% |
512
8.55 IPS |
|
Pose Estimation (F32)
|
100% |
5138
6.22 IPS |
|
Pose Estimation (F16)
|
100% |
9383
11.4 IPS |
|
Pose Estimation (I8)
|
100% |
9175
11.1 IPS |
|
Object Detection (F32)
|
100% |
1008
75.2 IPS |
|
Object Detection (F16)
|
100% |
1014
75.7 IPS |
|
Object Detection (I8)
|
97% |
964
72.0 IPS |
|
Face Detection (F32)
|
100% |
1634
19.4 IPS |
|
Face Detection (F16)
|
100% |
1468
17.5 IPS |
|
Face Detection (I8)
|
99% |
1452
17.3 IPS |
|
Depth Estimation (F32)
|
100% |
3043
23.6 IPS |
|
Depth Estimation (F16)
|
99% |
3475
26.9 IPS |
|
Depth Estimation (I8)
|
99% |
3337
25.9 IPS |
|
Style Transfer (F32)
|
100% |
9312
12.2 IPS |
|
Style Transfer (F16)
|
100% |
10892
14.3 IPS |
|
Style Transfer (I8)
|
100% |
10726
14.1 IPS |
|
Image Super-Resolution (F32)
|
100% |
2300
82.1 IPS |
|
Image Super-Resolution (F16)
|
100% |
2526
90.2 IPS |
|
Image Super-Resolution (I8)
|
100% |
2460
87.8 IPS |
|
Text Classification (F32)
|
100% |
985
1.42 KIPS |
|
Text Classification (F16)
|
100% |
479
688.4 IPS |
|
Text Classification (I8)
|
96% |
647
929.4 IPS |
|
Machine Translation (F32)
|
100% |
1294
23.8 IPS |
|
Machine Translation (F16)
|
99% |
1646
30.3 IPS |
|
Machine Translation (I8)
|
99% |
1267
23.3 IPS |