Upload Date | August 14 2023 01:31 PM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 16.3.1 |
Model | iPhone 13 Pro |
Model ID | iPhone14,2 |
Motherboard | D63AP |
CPU Information | |
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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 | 5.52 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
781
83.6 IPS |
|
Image Classification (F16)
|
100% |
742
79.5 IPS |
|
Image Classification (I8)
|
81% |
462
49.5 IPS |
|
Image Segmentation (F32)
|
100% |
1122
6.93 IPS |
|
Image Segmentation (F16)
|
100% |
1092
6.74 IPS |
|
Image Segmentation (I8)
|
89% |
1457
9.00 IPS |
|
Pose Estimation (F32)
|
100% |
421
1.70 IPS |
|
Pose Estimation (F16)
|
100% |
412
1.67 IPS |
|
Pose Estimation (I8)
|
80% |
483
1.95 IPS |
|
Object Detection (F32)
|
100% |
1096
38.5 IPS |
|
Object Detection (F16)
|
100% |
1085
38.1 IPS |
|
Object Detection (I8)
|
52% |
775
27.2 IPS |
|
Face Detection (F32)
|
100% |
1302
15.0 IPS |
|
Face Detection (F16)
|
100% |
1284
14.8 IPS |
|
Face Detection (I8)
|
75% |
858
9.86 IPS |
|
Text Classification (F32)
|
100% |
980
387.7 IPS |
|
Text Classification (F16)
|
100% |
1043
412.4 IPS |
|
Machine Translation (F32)
|
100% |
2075
319.7 IPS |
|
Machine Translation (F16)
|
100% |
2042
314.7 IPS |