Upload Date | September 26 2022 11:03 PM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 16.0.2 |
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% |
787
84.4 IPS |
|
Image Classification (F16)
|
100% |
755
80.9 IPS |
|
Image Classification (I8)
|
81% |
437
46.9 IPS |
|
Image Segmentation (F32)
|
100% |
1153
7.12 IPS |
|
Image Segmentation (F16)
|
100% |
1116
6.90 IPS |
|
Image Segmentation (I8)
|
89% |
1442
8.91 IPS |
|
Pose Estimation (F32)
|
100% |
420
1.70 IPS |
|
Pose Estimation (F16)
|
100% |
414
1.68 IPS |
|
Pose Estimation (I8)
|
80% |
487
1.97 IPS |
|
Object Detection (F32)
|
100% |
1096
38.5 IPS |
|
Object Detection (F16)
|
100% |
1091
38.3 IPS |
|
Object Detection (I8)
|
52% |
726
25.5 IPS |
|
Face Detection (F32)
|
100% |
1352
15.5 IPS |
|
Face Detection (F16)
|
100% |
1324
15.2 IPS |
|
Face Detection (I8)
|
75% |
848
9.75 IPS |
|
Text Classification (F32)
|
100% |
1101
435.4 IPS |
|
Text Classification (F16)
|
100% |
1081
427.5 IPS |
|
Machine Translation (F32)
|
100% |
2036
313.9 IPS |
|
Machine Translation (F16)
|
100% |
2043
314.8 IPS |