Upload Date | November 03 2021 11:17 AM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 15.1 |
Model | iPhone 13 mini |
Model ID | iPhone14,4 |
Motherboard | D16AP |
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 | 3.61 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
800
85.8 IPS |
|
Image Classification (F16)
|
100% |
772
82.7 IPS |
|
Image Classification (I8)
|
81% |
465
49.8 IPS |
|
Image Segmentation (F32)
|
100% |
1133
7.00 IPS |
|
Image Segmentation (F16)
|
100% |
1084
6.69 IPS |
|
Image Segmentation (I8)
|
89% |
1451
8.96 IPS |
|
Pose Estimation (F32)
|
100% |
416
1.68 IPS |
|
Pose Estimation (F16)
|
100% |
410
1.66 IPS |
|
Pose Estimation (I8)
|
80% |
482
1.95 IPS |
|
Object Detection (F32)
|
100% |
1071
37.6 IPS |
|
Object Detection (F16)
|
100% |
1078
37.8 IPS |
|
Object Detection (I8)
|
52% |
784
27.5 IPS |
|
Face Detection (F32)
|
100% |
1323
15.2 IPS |
|
Face Detection (F16)
|
100% |
1285
14.8 IPS |
|
Face Detection (I8)
|
75% |
854
9.81 IPS |
|
Text Classification (F32)
|
100% |
1192
471.5 IPS |
|
Text Classification (F16)
|
100% |
1159
458.3 IPS |
|
Machine Translation (F32)
|
100% |
1976
304.5 IPS |
|
Machine Translation (F16)
|
100% |
1974
304.2 IPS |