Upload Date | May 31 2023 02:28 PM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 16.5 |
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 | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
751
80.4 IPS |
|
Image Classification (F16)
|
100% |
737
78.9 IPS |
|
Image Classification (I8)
|
81% |
468
50.1 IPS |
|
Image Segmentation (F32)
|
100% |
1091
6.74 IPS |
|
Image Segmentation (F16)
|
100% |
1058
6.53 IPS |
|
Image Segmentation (I8)
|
89% |
1446
8.93 IPS |
|
Pose Estimation (F32)
|
100% |
412
1.67 IPS |
|
Pose Estimation (F16)
|
100% |
405
1.64 IPS |
|
Pose Estimation (I8)
|
80% |
476
1.92 IPS |
|
Object Detection (F32)
|
100% |
1041
36.5 IPS |
|
Object Detection (F16)
|
100% |
1036
36.4 IPS |
|
Object Detection (I8)
|
52% |
747
26.2 IPS |
|
Face Detection (F32)
|
100% |
1299
14.9 IPS |
|
Face Detection (F16)
|
100% |
1260
14.5 IPS |
|
Face Detection (I8)
|
75% |
847
9.73 IPS |
|
Text Classification (F32)
|
100% |
1047
414.0 IPS |
|
Text Classification (F16)
|
100% |
1097
433.8 IPS |
|
Machine Translation (F32)
|
100% |
2038
314.1 IPS |
|
Machine Translation (F16)
|
100% |
2056
316.8 IPS |