| Upload Date | December 09 2022 12:12 AM |
| Views | 1 |
| System Information | |
|---|---|
| Operating System | iOS 16.2 |
| 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% |
751
80.4 IPS |
|
|
Image Classification (I8)
|
81% |
466
49.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1121
6.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
1082
6.68 IPS |
|
|
Image Segmentation (I8)
|
89% |
1453
8.97 IPS |
|
|
Pose Estimation (F32)
|
100% |
434
1.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
427
1.73 IPS |
|
|
Pose Estimation (I8)
|
80% |
494
2.00 IPS |
|
|
Object Detection (F32)
|
100% |
1089
38.2 IPS |
|
|
Object Detection (F16)
|
100% |
1094
38.4 IPS |
|
|
Object Detection (I8)
|
52% |
766
26.9 IPS |
|
|
Face Detection (F32)
|
100% |
1328
15.3 IPS |
|
|
Face Detection (F16)
|
100% |
1309
15.0 IPS |
|
|
Face Detection (I8)
|
75% |
849
9.76 IPS |
|
|
Text Classification (F32)
|
100% |
1061
419.5 IPS |
|
|
Text Classification (F16)
|
100% |
909
359.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1881
289.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1849
284.9 IPS |
Compare
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