Upload Date | August 06 2022 04:54 AM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 15.6 |
Model | iPhone 13 Pro Max |
Model ID | iPhone14,3 |
Motherboard | D64AP |
CPU Information | |
---|---|
Name | Apple A15 Bionic |
Topology | 1 Processor, 6 Cores |
Identifier | ARM |
Base Frequency | 3.23 GHz |
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 | 5.49 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | Core ML |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
5288
566.6 IPS |
|
Image Classification (F16)
|
100% |
5403
578.9 IPS |
|
Image Classification (I8)
|
81% |
694
74.3 IPS |
|
Image Segmentation (F32)
|
100% |
2181
13.5 IPS |
|
Image Segmentation (F16)
|
100% |
2160
13.3 IPS |
|
Image Segmentation (I8)
|
89% |
1267
7.82 IPS |
|
Pose Estimation (F32)
|
100% |
24868
100.6 IPS |
|
Pose Estimation (F16)
|
100% |
23969
97.0 IPS |
|
Pose Estimation (I8)
|
80% |
240
0.97 IPS |
|
Object Detection (F32)
|
100% |
7050
247.4 IPS |
|
Object Detection (F16)
|
100% |
6947
243.8 IPS |
|
Object Detection (I8)
|
52% |
992
34.8 IPS |
|
Face Detection (F32)
|
100% |
7907
90.8 IPS |
|
Face Detection (F16)
|
100% |
7873
90.4 IPS |
|
Face Detection (I8)
|
75% |
968
11.1 IPS |
|
Text Classification (F32)
|
100% |
1023
404.5 IPS |
|
Text Classification (F16)
|
100% |
1023
404.8 IPS |
|
Machine Translation (F32)
|
100% |
1940
298.9 IPS |
|
Machine Translation (F16)
|
100% |
1943
299.4 IPS |