| Upload Date | December 09 2022 06:07 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 | Core ML |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7322
784.5 IPS |
|
|
Image Classification (F16)
|
100% |
7269
778.8 IPS |
|
|
Image Classification (I8)
|
81% |
743
79.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2439
15.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2332
14.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
1366
8.44 IPS |
|
|
Pose Estimation (F32)
|
100% |
25186
101.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
26793
108.4 IPS |
|
|
Pose Estimation (I8)
|
80% |
258
1.05 IPS |
|
|
Object Detection (F32)
|
100% |
9231
324.0 IPS |
|
|
Object Detection (F16)
|
100% |
8859
310.9 IPS |
|
|
Object Detection (I8)
|
52% |
1064
37.3 IPS |
|
|
Face Detection (F32)
|
100% |
10330
118.7 IPS |
|
|
Face Detection (F16)
|
100% |
10363
119.1 IPS |
|
|
Face Detection (I8)
|
75% |
1048
12.0 IPS |
|
|
Text Classification (F32)
|
100% |
1213
479.7 IPS |
|
|
Text Classification (F16)
|
100% |
1270
502.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2271
350.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2276
350.8 IPS |
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