Upload Date | April 27 2024 07:05 AM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 17.4.1 |
Model | iPhone 12 |
Model ID | iPhone13,2 |
Motherboard | D53gAP |
CPU Information | |
---|---|
Name | Apple A14 Bionic |
Topology | 1 Processor, 6 Cores |
Identifier | ARM |
Base Frequency | 2.99 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 | 3.56 GB |
Inference Information | |
---|---|
Framework | Core ML |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
1150
215.2 IPS |
|
Image Classification (F16)
|
100% |
1461
273.4 IPS |
|
Image Classification (I8)
|
99% |
1461
273.4 IPS |
|
Image Segmentation (F32)
|
100% |
498
8.31 IPS |
|
Image Segmentation (F16)
|
100% |
499
8.33 IPS |
|
Image Segmentation (I8)
|
100% |
496
8.28 IPS |
|
Pose Estimation (F32)
|
100% |
5116
6.20 IPS |
|
Pose Estimation (F16)
|
100% |
11251
13.6 IPS |
|
Pose Estimation (I8)
|
100% |
11275
13.7 IPS |
|
Object Detection (F32)
|
100% |
1105
82.5 IPS |
|
Object Detection (F16)
|
100% |
1482
110.7 IPS |
|
Object Detection (I8)
|
97% |
1106
82.6 IPS |
|
Face Detection (F32)
|
100% |
1947
23.1 IPS |
|
Face Detection (F16)
|
97% |
3495
41.6 IPS |
|
Face Detection (I8)
|
97% |
3491
41.5 IPS |
|
Depth Estimation (F32)
|
100% |
4529
35.1 IPS |
|
Depth Estimation (F16)
|
100% |
7176
55.6 IPS |
|
Depth Estimation (I8)
|
99% |
7139
55.4 IPS |
|
Style Transfer (F32)
|
100% |
13565
17.8 IPS |
|
Style Transfer (F16)
|
100% |
21560
28.4 IPS |
|
Style Transfer (I8)
|
100% |
21486
28.3 IPS |
|
Image Super-Resolution (F32)
|
100% |
3112
111.1 IPS |
|
Image Super-Resolution (F16)
|
100% |
4065
145.2 IPS |
|
Image Super-Resolution (I8)
|
100% |
4137
147.7 IPS |
|
Text Classification (F32)
|
100% |
1924
2.77 KIPS |
|
Text Classification (F16)
|
100% |
3062
4.40 KIPS |
|
Text Classification (I8)
|
96% |
3045
4.38 KIPS |
|
Machine Translation (F32)
|
100% |
645
11.9 IPS |
|
Machine Translation (F16)
|
100% |
776
14.3 IPS |
|
Machine Translation (I8)
|
99% |
645
11.9 IPS |