Upload Date | October 07 2022 02:19 AM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 16.1 |
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 | GPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
2966
317.8 IPS |
|
Image Classification (F16)
|
100% |
4397
471.2 IPS |
|
Image Classification (I8)
|
81% |
690
74.0 IPS |
|
Image Segmentation (F32)
|
100% |
5957
36.8 IPS |
|
Image Segmentation (F16)
|
100% |
8546
52.8 IPS |
|
Image Segmentation (I8)
|
89% |
1220
7.54 IPS |
|
Pose Estimation (F32)
|
100% |
1915
7.75 IPS |
|
Pose Estimation (F16)
|
100% |
4883
19.8 IPS |
|
Pose Estimation (I8)
|
80% |
228
0.92 IPS |
|
Object Detection (F32)
|
100% |
3318
116.4 IPS |
|
Object Detection (F16)
|
100% |
3351
117.6 IPS |
|
Object Detection (I8)
|
52% |
984
34.5 IPS |
|
Face Detection (F32)
|
100% |
5115
58.8 IPS |
|
Face Detection (F16)
|
97% |
8958
102.9 IPS |
|
Face Detection (I8)
|
75% |
927
10.7 IPS |
|
Text Classification (F32)
|
100% |
1501
593.6 IPS |
|
Text Classification (F16)
|
100% |
1519
600.7 IPS |
|
Machine Translation (F32)
|
100% |
2042
314.8 IPS |
|
Machine Translation (F16)
|
100% |
2044
315.1 IPS |