Upload Date | November 06 2021 04:52 AM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 15.1 |
Model | iPhone 13 |
Model ID | iPhone14,5 |
Motherboard | D17AP |
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 | 3.60 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
404
43.3 IPS |
|
Image Classification (F16)
|
100% |
431
46.1 IPS |
|
Image Classification (I8)
|
81% |
432
46.2 IPS |
|
Image Segmentation (F32)
|
100% |
662
4.09 IPS |
|
Image Segmentation (F16)
|
100% |
579
3.58 IPS |
|
Image Segmentation (I8)
|
89% |
1363
8.42 IPS |
|
Pose Estimation (F32)
|
100% |
297
1.20 IPS |
|
Pose Estimation (F16)
|
100% |
320
1.29 IPS |
|
Pose Estimation (I8)
|
80% |
434
1.75 IPS |
|
Object Detection (F32)
|
100% |
967
33.9 IPS |
|
Object Detection (F16)
|
100% |
945
33.2 IPS |
|
Object Detection (I8)
|
52% |
812
28.5 IPS |
|
Face Detection (F32)
|
100% |
818
9.40 IPS |
|
Face Detection (F16)
|
100% |
861
9.89 IPS |
|
Face Detection (I8)
|
75% |
875
10.1 IPS |
|
Text Classification (F32)
|
100% |
1926
761.9 IPS |
|
Text Classification (F16)
|
100% |
1892
748.3 IPS |
|
Machine Translation (F32)
|
100% |
1578
243.3 IPS |
|
Machine Translation (F16)
|
100% |
1644
253.4 IPS |