Upload Date | August 06 2022 02:55 AM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 15.6 |
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 | |
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Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
796
85.3 IPS |
|
Image Classification (F16)
|
100% |
768
82.3 IPS |
|
Image Classification (I8)
|
81% |
323
34.6 IPS |
|
Image Segmentation (F32)
|
100% |
1143
7.06 IPS |
|
Image Segmentation (F16)
|
100% |
1133
7.00 IPS |
|
Image Segmentation (I8)
|
89% |
1366
8.44 IPS |
|
Pose Estimation (F32)
|
100% |
392
1.58 IPS |
|
Pose Estimation (F16)
|
100% |
386
1.56 IPS |
|
Pose Estimation (I8)
|
80% |
481
1.95 IPS |
|
Object Detection (F32)
|
100% |
1148
40.3 IPS |
|
Object Detection (F16)
|
100% |
1154
40.5 IPS |
|
Object Detection (I8)
|
52% |
458
16.1 IPS |
|
Face Detection (F32)
|
100% |
1361
15.6 IPS |
|
Face Detection (F16)
|
100% |
1332
15.3 IPS |
|
Face Detection (I8)
|
75% |
778
8.94 IPS |
|
Text Classification (F32)
|
100% |
744
294.3 IPS |
|
Text Classification (F16)
|
100% |
734
290.5 IPS |
|
Machine Translation (F32)
|
100% |
1987
306.2 IPS |
|
Machine Translation (F16)
|
100% |
1976
304.5 IPS |