Upload Date | October 23 2021 03:35 AM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 14.8 |
Model | iPhone XS Max |
Model ID | iPhone11,6 |
Motherboard | D331pAP |
CPU Information | |
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Name | Apple A12 Bionic |
Topology | 1 Processor, 6 Cores |
Identifier | ARM |
Base Frequency | 2.49 GHz |
L1 Instruction Cache | 128 KB x 1 |
L1 Data Cache | 128 KB x 1 |
L2 Cache | 8.00 MB x 1 |
Memory Information | |
---|---|
Size | 3.68 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | Core ML |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
3081
330.1 IPS |
|
Image Classification (F16)
|
100% |
2961
317.3 IPS |
|
Image Classification (I8)
|
81% |
401
43.0 IPS |
|
Image Segmentation (F32)
|
100% |
1331
8.22 IPS |
|
Image Segmentation (F16)
|
100% |
1333
8.23 IPS |
|
Image Segmentation (I8)
|
89% |
745
4.60 IPS |
|
Pose Estimation (F32)
|
100% |
7293
29.5 IPS |
|
Pose Estimation (F16)
|
100% |
7238
29.3 IPS |
|
Pose Estimation (I8)
|
80% |
141
0.57 IPS |
|
Object Detection (F32)
|
94% |
3879
136.1 IPS |
|
Object Detection (F16)
|
94% |
1517
53.3 IPS |
|
Object Detection (I8)
|
52% |
391
13.7 IPS |
|
Face Detection (F32)
|
67% |
3330
38.3 IPS |
|
Face Detection (F16)
|
67% |
3372
38.7 IPS |
|
Face Detection (I8)
|
75% |
505
5.80 IPS |
|
Text Classification (F32)
|
100% |
251
99.3 IPS |
|
Text Classification (F16)
|
100% |
231
91.5 IPS |
|
Machine Translation (F32)
|
100% |
995
153.4 IPS |
|
Machine Translation (F16)
|
100% |
992
152.9 IPS |