| Upload Date | December 09 2022 06:22 AM |
| Views | 1 |
| System Information | |
|---|---|
| Operating System | iOS 16.1.1 |
| Model | iPhone 11 Pro Max |
| Model ID | iPhone12,5 |
| Motherboard | D431AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| L1 Instruction Cache | 96.0 KB x 1 |
| L1 Data Cache | 48.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.66 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1783
191.1 IPS |
|
|
Image Classification (F16)
|
100% |
1616
173.2 IPS |
|
|
Image Classification (I8)
|
81% |
449
48.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
3421
21.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
5305
32.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
837
5.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
1421
5.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
4396
17.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
153
0.62 IPS |
|
|
Object Detection (F32)
|
100% |
1447
50.8 IPS |
|
|
Object Detection (F16)
|
99% |
1815
63.7 IPS |
|
|
Object Detection (I8)
|
52% |
634
22.3 IPS |
|
|
Face Detection (F32)
|
100% |
3608
41.5 IPS |
|
|
Face Detection (F16)
|
97% |
5168
59.4 IPS |
|
|
Face Detection (I8)
|
75% |
635
7.30 IPS |
|
|
Text Classification (F32)
|
100% |
966
382.0 IPS |
|
|
Text Classification (F16)
|
98% |
1222
483.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1196
184.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1198
184.6 IPS |
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