| Upload Date | December 09 2022 06:10 AM |
| Views | 1 |
| System Information | |
|---|---|
| Operating System | iOS 16.1.1 |
| Model | iPhone15,2 |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 1.67 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 | 5.51 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2786
298.5 IPS |
|
|
Image Classification (F16)
|
100% |
4519
484.1 IPS |
|
|
Image Classification (I8)
|
81% |
742
79.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
6522
40.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
8895
54.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
1366
8.44 IPS |
|
|
Pose Estimation (F32)
|
100% |
2354
9.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
5061
20.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
258
1.04 IPS |
|
|
Object Detection (F32)
|
100% |
3366
118.1 IPS |
|
|
Object Detection (F16)
|
100% |
3570
125.3 IPS |
|
|
Object Detection (I8)
|
52% |
1066
37.4 IPS |
|
|
Face Detection (F32)
|
100% |
5881
67.6 IPS |
|
|
Face Detection (F16)
|
97% |
9849
113.2 IPS |
|
|
Face Detection (I8)
|
75% |
1047
12.0 IPS |
|
|
Text Classification (F32)
|
100% |
1323
523.4 IPS |
|
|
Text Classification (F16)
|
100% |
1535
607.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2253
347.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2246
346.1 IPS |
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