Upload Date | September 26 2022 03:45 AM |
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 | Core ML |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
6251
669.7 IPS |
|
Image Classification (F16)
|
100% |
6058
649.1 IPS |
|
Image Classification (I8)
|
81% |
698
74.8 IPS |
|
Image Segmentation (F32)
|
100% |
2206
13.6 IPS |
|
Image Segmentation (F16)
|
100% |
2218
13.7 IPS |
|
Image Segmentation (I8)
|
89% |
1270
7.85 IPS |
|
Pose Estimation (F32)
|
100% |
22791
92.2 IPS |
|
Pose Estimation (F16)
|
100% |
24928
100.9 IPS |
|
Pose Estimation (I8)
|
80% |
241
0.98 IPS |
|
Object Detection (F32)
|
100% |
7838
275.1 IPS |
|
Object Detection (F16)
|
100% |
7755
272.1 IPS |
|
Object Detection (I8)
|
52% |
993
34.8 IPS |
|
Face Detection (F32)
|
100% |
8666
99.6 IPS |
|
Face Detection (F16)
|
100% |
8659
99.5 IPS |
|
Face Detection (I8)
|
75% |
967
11.1 IPS |
|
Text Classification (F32)
|
100% |
1166
461.4 IPS |
|
Text Classification (F16)
|
100% |
1214
480.3 IPS |
|
Machine Translation (F32)
|
100% |
2040
314.4 IPS |
|
Machine Translation (F16)
|
100% |
2057
317.1 IPS |