Upload Date | December 08 2022 03:01 PM |
Views | 2 |
System Information | |
---|---|
Operating System | iOS 16.2 |
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 | 3.56 GB |
Inference Information | |
---|---|
Framework | TensorFlow Lite |
Backend | Core ML |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
6246
669.2 IPS |
|
Image Classification (F16)
|
100% |
6333
678.6 IPS |
|
Image Classification (I8)
|
81% |
567
60.8 IPS |
|
Image Segmentation (F32)
|
100% |
1774
11.0 IPS |
|
Image Segmentation (F16)
|
100% |
1769
10.9 IPS |
|
Image Segmentation (I8)
|
89% |
1081
6.68 IPS |
|
Pose Estimation (F32)
|
100% |
18676
75.6 IPS |
|
Pose Estimation (F16)
|
100% |
24088
97.5 IPS |
|
Pose Estimation (I8)
|
80% |
208
0.84 IPS |
|
Object Detection (F32)
|
100% |
7397
259.6 IPS |
|
Object Detection (F16)
|
100% |
7783
273.1 IPS |
|
Object Detection (I8)
|
52% |
891
31.3 IPS |
|
Face Detection (F32)
|
100% |
8719
100.2 IPS |
|
Face Detection (F16)
|
100% |
8760
100.6 IPS |
|
Face Detection (I8)
|
75% |
848
9.75 IPS |
|
Text Classification (F32)
|
100% |
1230
486.3 IPS |
|
Text Classification (F16)
|
100% |
1198
473.8 IPS |
|
Machine Translation (F32)
|
100% |
2029
312.7 IPS |
|
Machine Translation (F16)
|
100% |
2037
314.0 IPS |