| Upload Date | December 08 2022 03:51 PM |
| Views | 1 |
| System Information | |
|---|---|
| Operating System | iOS 16.1.2 |
| 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% |
770
82.5 IPS |
|
|
Image Classification (F16)
|
100% |
765
82.0 IPS |
|
|
Image Classification (I8)
|
81% |
459
49.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1122
6.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
1088
6.72 IPS |
|
|
Image Segmentation (I8)
|
89% |
1467
9.06 IPS |
|
|
Pose Estimation (F32)
|
100% |
437
1.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
431
1.74 IPS |
|
|
Pose Estimation (I8)
|
80% |
494
2.00 IPS |
|
|
Object Detection (F32)
|
100% |
1098
38.6 IPS |
|
|
Object Detection (F16)
|
100% |
1115
39.1 IPS |
|
|
Object Detection (I8)
|
52% |
766
26.9 IPS |
|
|
Face Detection (F32)
|
100% |
1337
15.4 IPS |
|
|
Face Detection (F16)
|
100% |
1320
15.2 IPS |
|
|
Face Detection (I8)
|
75% |
861
9.90 IPS |
|
|
Text Classification (F32)
|
100% |
961
380.1 IPS |
|
|
Text Classification (F16)
|
100% |
1037
410.0 IPS |
|
|
Machine Translation (F32)
|
100% |
2029
312.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2043
314.9 IPS |
Compare
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