Upload Date | July 16 2022 04:25 PM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 15.5 |
Model | iPhone 13 Pro Max |
Model ID | iPhone14,3 |
Motherboard | D64AP |
CPU Information | |
---|---|
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 | |
---|---|
Framework | TensorFlow Lite |
Backend | CPU |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
769
82.4 IPS |
|
Image Classification (F16)
|
100% |
755
80.9 IPS |
|
Image Classification (I8)
|
81% |
441
47.2 IPS |
|
Image Segmentation (F32)
|
100% |
1122
6.93 IPS |
|
Image Segmentation (F16)
|
100% |
1095
6.77 IPS |
|
Image Segmentation (I8)
|
89% |
1438
8.88 IPS |
|
Pose Estimation (F32)
|
100% |
415
1.68 IPS |
|
Pose Estimation (F16)
|
100% |
411
1.66 IPS |
|
Pose Estimation (I8)
|
80% |
491
1.99 IPS |
|
Object Detection (F32)
|
100% |
1070
37.6 IPS |
|
Object Detection (F16)
|
100% |
1083
38.0 IPS |
|
Object Detection (I8)
|
52% |
717
25.2 IPS |
|
Face Detection (F32)
|
100% |
1330
15.3 IPS |
|
Face Detection (F16)
|
100% |
1302
15.0 IPS |
|
Face Detection (I8)
|
75% |
846
9.72 IPS |
|
Text Classification (F32)
|
100% |
1005
397.3 IPS |
|
Text Classification (F16)
|
100% |
1104
436.8 IPS |
|
Machine Translation (F32)
|
100% |
1963
302.5 IPS |
|
Machine Translation (F16)
|
100% |
1969
303.4 IPS |
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