Upload Date | August 15 2024 07:32 PM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 15.1.1 |
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 | Core ML |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
5594
599.4 IPS |
|
Image Classification (F16)
|
100% |
5587
598.6 IPS |
|
Image Classification (I8)
|
81% |
696
74.5 IPS |
|
Image Segmentation (F32)
|
100% |
2220
13.7 IPS |
|
Image Segmentation (F16)
|
100% |
2176
13.4 IPS |
|
Image Segmentation (I8)
|
89% |
1274
7.87 IPS |
|
Pose Estimation (F32)
|
100% |
23003
93.1 IPS |
|
Pose Estimation (F16)
|
100% |
23301
94.3 IPS |
|
Pose Estimation (I8)
|
80% |
241
0.97 IPS |
|
Object Detection (F32)
|
100% |
7036
246.9 IPS |
|
Object Detection (F16)
|
100% |
7025
246.5 IPS |
|
Object Detection (I8)
|
52% |
997
35.0 IPS |
|
Face Detection (F32)
|
100% |
8152
93.7 IPS |
|
Face Detection (F16)
|
100% |
8064
92.6 IPS |
|
Face Detection (I8)
|
75% |
948
10.9 IPS |
|
Text Classification (F32)
|
100% |
1105
437.0 IPS |
|
Text Classification (F16)
|
100% |
1112
439.7 IPS |
|
Machine Translation (F32)
|
100% |
1984
305.8 IPS |
|
Machine Translation (F16)
|
100% |
1981
305.3 IPS |