Upload Date | September 30 2022 03:32 AM |
Views | 2 |
System Information | |
---|---|
Operating System | iOS 16.0 |
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 | CPU |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
760
81.5 IPS |
|
Image Classification (F16)
|
100% |
739
79.2 IPS |
|
Image Classification (I8)
|
81% |
458
49.1 IPS |
|
Image Segmentation (F32)
|
100% |
1111
6.86 IPS |
|
Image Segmentation (F16)
|
100% |
1081
6.68 IPS |
|
Image Segmentation (I8)
|
89% |
1459
9.01 IPS |
|
Pose Estimation (F32)
|
100% |
416
1.68 IPS |
|
Pose Estimation (F16)
|
100% |
410
1.66 IPS |
|
Pose Estimation (I8)
|
80% |
480
1.94 IPS |
|
Object Detection (F32)
|
100% |
1081
37.9 IPS |
|
Object Detection (F16)
|
100% |
1079
37.8 IPS |
|
Object Detection (I8)
|
52% |
781
27.4 IPS |
|
Face Detection (F32)
|
100% |
1303
15.0 IPS |
|
Face Detection (F16)
|
100% |
1278
14.7 IPS |
|
Face Detection (I8)
|
75% |
855
9.82 IPS |
|
Text Classification (F32)
|
100% |
1109
438.8 IPS |
|
Text Classification (F16)
|
100% |
1095
433.2 IPS |
|
Machine Translation (F32)
|
100% |
2016
310.7 IPS |
|
Machine Translation (F16)
|
100% |
2012
310.0 IPS |
Compare
Set Baseline