Upload Date | December 09 2022 03:16 AM |
Views | 2 |
System Information | |
---|---|
Operating System | iOS 16.1 |
Model | iPhone 13 |
Model ID | iPhone14,5 |
Motherboard | D17AP |
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 | 3.56 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | Core ML |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
6309
676.0 IPS |
|
Image Classification (F16)
|
100% |
6445
690.5 IPS |
|
Image Classification (I8)
|
81% |
693
74.3 IPS |
|
Image Segmentation (F32)
|
100% |
2156
13.3 IPS |
|
Image Segmentation (F16)
|
100% |
2104
13.0 IPS |
|
Image Segmentation (I8)
|
89% |
1182
7.30 IPS |
|
Pose Estimation (F32)
|
100% |
24052
97.3 IPS |
|
Pose Estimation (F16)
|
100% |
23998
97.1 IPS |
|
Pose Estimation (I8)
|
80% |
223
0.90 IPS |
|
Object Detection (F32)
|
100% |
7397
259.6 IPS |
|
Object Detection (F16)
|
100% |
6818
239.3 IPS |
|
Object Detection (I8)
|
52% |
940
33.0 IPS |
|
Face Detection (F32)
|
100% |
7772
89.3 IPS |
|
Face Detection (F16)
|
100% |
8261
94.9 IPS |
|
Face Detection (I8)
|
75% |
902
10.4 IPS |
|
Text Classification (F32)
|
100% |
1180
466.5 IPS |
|
Text Classification (F16)
|
100% |
1208
477.8 IPS |
|
Machine Translation (F32)
|
100% |
1932
297.7 IPS |
|
Machine Translation (F16)
|
100% |
2047
315.5 IPS |