Upload Date | May 09 2024 04:44 AM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 17.5 |
Model | iPhone 14 Pro |
Model ID | iPhone15,2 |
Motherboard | D73AP |
CPU Information | |
---|---|
Name | Apple A16 Bionic |
Topology | 1 Processor, 6 Cores |
Identifier | ARM |
Base Frequency | 3.46 GHz |
Cluster 1 | 2 Cores |
Cluster 2 | 4 Cores |
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 | 5.50 GB |
Inference Information | |
---|---|
Framework | Core ML |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
1432
268.0 IPS |
|
Image Classification (F16)
|
100% |
1852
346.6 IPS |
|
Image Classification (I8)
|
99% |
1866
349.2 IPS |
|
Image Segmentation (F32)
|
100% |
800
13.4 IPS |
|
Image Segmentation (F16)
|
100% |
797
13.3 IPS |
|
Image Segmentation (I8)
|
100% |
799
13.3 IPS |
|
Pose Estimation (F32)
|
100% |
6238
7.55 IPS |
|
Pose Estimation (F16)
|
100% |
14078
17.0 IPS |
|
Pose Estimation (I8)
|
100% |
14077
17.0 IPS |
|
Object Detection (F32)
|
100% |
1448
108.1 IPS |
|
Object Detection (F16)
|
100% |
2011
150.1 IPS |
|
Object Detection (I8)
|
97% |
1451
108.4 IPS |
|
Face Detection (F32)
|
100% |
2763
32.9 IPS |
|
Face Detection (F16)
|
97% |
4395
52.3 IPS |
|
Face Detection (I8)
|
97% |
4406
52.4 IPS |
|
Depth Estimation (F32)
|
100% |
5621
43.6 IPS |
|
Depth Estimation (F16)
|
100% |
8683
67.3 IPS |
|
Depth Estimation (I8)
|
99% |
8738
67.8 IPS |
|
Style Transfer (F32)
|
100% |
17323
22.8 IPS |
|
Style Transfer (F16)
|
100% |
26375
34.7 IPS |
|
Style Transfer (I8)
|
100% |
26401
34.7 IPS |
|
Image Super-Resolution (F32)
|
100% |
4061
145.0 IPS |
|
Image Super-Resolution (F16)
|
100% |
4925
175.9 IPS |
|
Image Super-Resolution (I8)
|
100% |
5026
179.5 IPS |
|
Text Classification (F32)
|
100% |
2365
3.40 KIPS |
|
Text Classification (F16)
|
100% |
3951
5.68 KIPS |
|
Text Classification (I8)
|
96% |
3936
5.66 KIPS |
|
Machine Translation (F32)
|
100% |
1249
23.0 IPS |
|
Machine Translation (F16)
|
100% |
1547
28.5 IPS |
|
Machine Translation (I8)
|
99% |
1243
22.9 IPS |