Upload Date | August 15 2024 07:21 PM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 15.1.1 |
Model | iPhone 13 mini |
Model ID | iPhone14,4 |
Motherboard | D16AP |
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 | 3.61 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
801
85.8 IPS |
|
Image Classification (F16)
|
100% |
767
82.2 IPS |
|
Image Classification (I8)
|
81% |
452
48.4 IPS |
|
Image Segmentation (F32)
|
100% |
1139
7.04 IPS |
|
Image Segmentation (F16)
|
100% |
1108
6.84 IPS |
|
Image Segmentation (I8)
|
89% |
1449
8.95 IPS |
|
Pose Estimation (F32)
|
100% |
421
1.70 IPS |
|
Pose Estimation (F16)
|
100% |
415
1.68 IPS |
|
Pose Estimation (I8)
|
80% |
485
1.96 IPS |
|
Object Detection (F32)
|
100% |
1071
37.6 IPS |
|
Object Detection (F16)
|
100% |
1082
38.0 IPS |
|
Object Detection (I8)
|
52% |
773
27.1 IPS |
|
Face Detection (F32)
|
100% |
1338
15.4 IPS |
|
Face Detection (F16)
|
100% |
1308
15.0 IPS |
|
Face Detection (I8)
|
75% |
851
9.78 IPS |
|
Text Classification (F32)
|
100% |
1816
718.3 IPS |
|
Text Classification (F16)
|
100% |
1277
505.2 IPS |
|
Machine Translation (F32)
|
100% |
1971
303.8 IPS |
|
Machine Translation (F16)
|
100% |
1975
304.3 IPS |