Upload Date | September 26 2022 04:25 AM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 15.6 |
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 | 48.0 KB x 1 |
L1 Data Cache | 32.0 KB x 1 |
L2 Cache | 2.00 MB x 1 |
Memory Information | |
---|---|
Size | 3.67 GB |
Inference Information | |
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Framework | TensorFlow Lite |
Backend | GPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
1115
119.5 IPS |
|
Image Classification (F16)
|
100% |
1113
119.2 IPS |
|
Image Classification (I8)
|
81% |
402
43.1 IPS |
|
Image Segmentation (F32)
|
100% |
3092
19.1 IPS |
|
Image Segmentation (F16)
|
100% |
4750
29.3 IPS |
|
Image Segmentation (I8)
|
89% |
740
4.57 IPS |
|
Pose Estimation (F32)
|
100% |
1209
4.89 IPS |
|
Pose Estimation (F16)
|
100% |
3458
14.0 IPS |
|
Pose Estimation (I8)
|
80% |
141
0.57 IPS |
|
Object Detection (F32)
|
100% |
1505
52.8 IPS |
|
Object Detection (F16)
|
99% |
1557
54.6 IPS |
|
Object Detection (I8)
|
52% |
563
19.8 IPS |
|
Face Detection (F32)
|
100% |
3213
36.9 IPS |
|
Face Detection (F16)
|
97% |
5230
60.1 IPS |
|
Face Detection (I8)
|
75% |
544
6.25 IPS |
|
Text Classification (F32)
|
100% |
691
273.2 IPS |
|
Text Classification (F16)
|
98% |
841
332.5 IPS |
|
Machine Translation (F32)
|
100% |
978
150.7 IPS |
|
Machine Translation (F16)
|
100% |
981
151.1 IPS |