Upload Date | October 06 2022 11:04 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 | CPU |
Device |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
783
83.9 IPS |
|
Image Classification (F16)
|
100% |
759
81.3 IPS |
|
Image Classification (I8)
|
81% |
447
47.8 IPS |
|
Image Segmentation (F32)
|
100% |
1124
6.95 IPS |
|
Image Segmentation (F16)
|
100% |
1097
6.77 IPS |
|
Image Segmentation (I8)
|
89% |
1438
8.88 IPS |
|
Pose Estimation (F32)
|
100% |
432
1.75 IPS |
|
Pose Estimation (F16)
|
100% |
419
1.70 IPS |
|
Pose Estimation (I8)
|
80% |
492
1.99 IPS |
|
Object Detection (F32)
|
100% |
1101
38.6 IPS |
|
Object Detection (F16)
|
100% |
1101
38.6 IPS |
|
Object Detection (I8)
|
52% |
726
25.5 IPS |
|
Face Detection (F32)
|
100% |
1355
15.6 IPS |
|
Face Detection (F16)
|
100% |
1319
15.2 IPS |
|
Face Detection (I8)
|
75% |
848
9.74 IPS |
|
Text Classification (F32)
|
100% |
994
393.2 IPS |
|
Text Classification (F16)
|
100% |
1066
421.6 IPS |
|
Machine Translation (F32)
|
100% |
2033
313.3 IPS |
|
Machine Translation (F16)
|
100% |
2043
314.8 IPS |