Upload Date | August 08 2023 06:11 AM |
Views | 2 |
System Information | |
---|---|
Operating System | iOS 16.6 |
Model | iPhone 12 Mini |
Model ID | iPhone13,1 |
Motherboard | D52gAP |
CPU Information | |
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Name | Apple A14 Bionic |
Topology | 1 Processor, 6 Cores |
Identifier | ARM |
Base Frequency | 2.99 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 | 3.60 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
622
66.6 IPS |
|
Image Classification (F16)
|
100% |
611
65.4 IPS |
|
Image Classification (I8)
|
81% |
399
42.8 IPS |
|
Image Segmentation (F32)
|
100% |
993
6.13 IPS |
|
Image Segmentation (F16)
|
100% |
977
6.03 IPS |
|
Image Segmentation (I8)
|
89% |
1370
8.46 IPS |
|
Pose Estimation (F32)
|
100% |
370
1.50 IPS |
|
Pose Estimation (F16)
|
100% |
360
1.46 IPS |
|
Pose Estimation (I8)
|
80% |
440
1.78 IPS |
|
Object Detection (F32)
|
100% |
886
31.1 IPS |
|
Object Detection (F16)
|
100% |
900
31.6 IPS |
|
Object Detection (I8)
|
52% |
722
25.3 IPS |
|
Face Detection (F32)
|
100% |
1091
12.5 IPS |
|
Face Detection (F16)
|
100% |
1066
12.2 IPS |
|
Face Detection (I8)
|
75% |
816
9.37 IPS |
|
Text Classification (F32)
|
100% |
1831
724.3 IPS |
|
Text Classification (F16)
|
100% |
2127
841.2 IPS |
|
Machine Translation (F32)
|
100% |
1690
260.5 IPS |
|
Machine Translation (F16)
|
100% |
1678
258.7 IPS |