Upload Date | January 19 2022 10:25 AM |
Views | 2 |
System Information | |
---|---|
Operating System | iOS 15.0.2 |
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 |
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 | 5.57 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | Core ML |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
5225
559.8 IPS |
|
Image Classification (F16)
|
100% |
5240
561.5 IPS |
|
Image Classification (I8)
|
81% |
641
68.7 IPS |
|
Image Segmentation (F32)
|
100% |
1889
11.7 IPS |
|
Image Segmentation (F16)
|
100% |
1912
11.8 IPS |
|
Image Segmentation (I8)
|
89% |
1127
6.96 IPS |
|
Pose Estimation (F32)
|
100% |
15787
63.9 IPS |
|
Pose Estimation (F16)
|
100% |
19077
77.2 IPS |
|
Pose Estimation (I8)
|
80% |
215
0.87 IPS |
|
Object Detection (F32)
|
100% |
6661
233.8 IPS |
|
Object Detection (F16)
|
100% |
6680
234.4 IPS |
|
Object Detection (I8)
|
52% |
867
30.4 IPS |
|
Face Detection (F32)
|
100% |
6930
79.6 IPS |
|
Face Detection (F16)
|
100% |
6926
79.6 IPS |
|
Face Detection (I8)
|
75% |
878
10.1 IPS |
|
Text Classification (F32)
|
100% |
1046
413.7 IPS |
|
Text Classification (F16)
|
100% |
1071
423.5 IPS |
|
Machine Translation (F32)
|
100% |
1668
257.0 IPS |
|
Machine Translation (F16)
|
100% |
1667
256.9 IPS |