Upload Date | August 15 2024 03:52 PM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 17.6.1 |
Model | iPhone 12 Pro Max |
Model ID | iPhone13,4 |
Motherboard | D54pAP |
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 | 5.52 GB |
Inference Information | |
---|---|
Framework | Core ML |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
1151
215.3 IPS |
|
Image Classification (F16)
|
100% |
1466
274.3 IPS |
|
Image Classification (I8)
|
99% |
1455
272.3 IPS |
|
Image Segmentation (F32)
|
100% |
500
8.35 IPS |
|
Image Segmentation (F16)
|
100% |
510
8.52 IPS |
|
Image Segmentation (I8)
|
100% |
502
8.39 IPS |
|
Pose Estimation (F32)
|
100% |
4865
5.89 IPS |
|
Pose Estimation (F16)
|
100% |
10680
12.9 IPS |
|
Pose Estimation (I8)
|
100% |
10718
13.0 IPS |
|
Object Detection (F32)
|
100% |
1120
83.6 IPS |
|
Object Detection (F16)
|
100% |
1537
114.8 IPS |
|
Object Detection (I8)
|
97% |
1122
83.8 IPS |
|
Face Detection (F32)
|
100% |
1949
23.2 IPS |
|
Face Detection (F16)
|
97% |
3485
41.4 IPS |
|
Face Detection (I8)
|
97% |
3494
41.5 IPS |
|
Depth Estimation (F32)
|
100% |
4523
35.1 IPS |
|
Depth Estimation (F16)
|
100% |
7138
55.4 IPS |
|
Depth Estimation (I8)
|
99% |
7111
55.1 IPS |
|
Style Transfer (F32)
|
100% |
13145
17.3 IPS |
|
Style Transfer (F16)
|
100% |
21471
28.2 IPS |
|
Style Transfer (I8)
|
100% |
21522
28.3 IPS |
|
Image Super-Resolution (F32)
|
100% |
3004
107.3 IPS |
|
Image Super-Resolution (F16)
|
100% |
4277
152.7 IPS |
|
Image Super-Resolution (I8)
|
100% |
4101
146.5 IPS |
|
Text Classification (F32)
|
100% |
1935
2.78 KIPS |
|
Text Classification (F16)
|
100% |
2695
3.87 KIPS |
|
Text Classification (I8)
|
96% |
2696
3.87 KIPS |
|
Machine Translation (F32)
|
100% |
644
11.9 IPS |
|
Machine Translation (F16)
|
100% |
776
14.3 IPS |
|
Machine Translation (I8)
|
99% |
639
11.8 IPS |