Upload Date | April 21 2022 09:35 PM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 15.4.1 |
Model | iPhone 13 Pro Max |
Model ID | iPhone14,3 |
Motherboard | D64AP |
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 | 5.49 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
772
82.8 IPS |
|
Image Classification (F16)
|
100% |
749
80.3 IPS |
|
Image Classification (I8)
|
81% |
461
49.4 IPS |
|
Image Segmentation (F32)
|
100% |
1114
6.88 IPS |
|
Image Segmentation (F16)
|
100% |
1083
6.69 IPS |
|
Image Segmentation (I8)
|
89% |
1448
8.94 IPS |
|
Pose Estimation (F32)
|
100% |
433
1.75 IPS |
|
Pose Estimation (F16)
|
100% |
427
1.73 IPS |
|
Pose Estimation (I8)
|
80% |
493
2.00 IPS |
|
Object Detection (F32)
|
100% |
1103
38.7 IPS |
|
Object Detection (F16)
|
100% |
1103
38.7 IPS |
|
Object Detection (I8)
|
52% |
767
26.9 IPS |
|
Face Detection (F32)
|
100% |
1325
15.2 IPS |
|
Face Detection (F16)
|
100% |
1311
15.1 IPS |
|
Face Detection (I8)
|
75% |
854
9.81 IPS |
|
Text Classification (F32)
|
100% |
1036
409.8 IPS |
|
Text Classification (F16)
|
100% |
1077
425.8 IPS |
|
Machine Translation (F32)
|
100% |
1962
302.5 IPS |
|
Machine Translation (F16)
|
100% |
1958
301.7 IPS |