Upload Date | March 11 2025 03:40 PM |
Views | 5 |
System Information | |
---|---|
Operating System | iOS 16.3.1 |
Model | iPhone 14 |
Model ID | iPhone14,7 |
Motherboard | D27AP |
CPU Information | |
---|---|
Name | Apple A15 Bionic |
Topology | 1 Processor, 6 Cores |
Identifier | ARM |
Base Frequency | 3.23 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 | 5.56 GB |
Inference Information | |
---|---|
Framework | Core ML |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
948
177.3 IPS |
|
Image Classification (F16)
|
100% |
907
169.7 IPS |
|
Image Classification (I8)
|
99% |
910
170.2 IPS |
|
Image Segmentation (F32)
|
100% |
635
10.6 IPS |
|
Image Segmentation (F16)
|
100% |
580
9.69 IPS |
|
Image Segmentation (I8)
|
100% |
579
9.66 IPS |
|
Pose Estimation (F32)
|
100% |
5464
6.62 IPS |
|
Pose Estimation (F16)
|
100% |
9629
11.7 IPS |
|
Pose Estimation (I8)
|
100% |
9540
11.6 IPS |
|
Object Detection (F32)
|
100% |
1028
76.7 IPS |
|
Object Detection (F16)
|
100% |
1053
78.6 IPS |
|
Object Detection (I8)
|
97% |
1053
78.6 IPS |
|
Face Detection (F32)
|
100% |
1777
21.1 IPS |
|
Face Detection (F16)
|
100% |
1620
19.3 IPS |
|
Face Detection (I8)
|
99% |
1615
19.2 IPS |
|
Depth Estimation (F32)
|
100% |
3216
24.9 IPS |
|
Depth Estimation (F16)
|
99% |
3639
28.2 IPS |
|
Depth Estimation (I8)
|
99% |
3629
28.1 IPS |
|
Style Transfer (F32)
|
100% |
9931
13.1 IPS |
|
Style Transfer (F16)
|
100% |
11749
15.5 IPS |
|
Style Transfer (I8)
|
100% |
11783
15.5 IPS |
|
Image Super-Resolution (F32)
|
100% |
2424
86.6 IPS |
|
Image Super-Resolution (F16)
|
100% |
2554
91.2 IPS |
|
Image Super-Resolution (I8)
|
100% |
2557
91.3 IPS |
|
Text Classification (F32)
|
100% |
982
1.41 KIPS |
|
Text Classification (F16)
|
100% |
461
662.3 IPS |
|
Text Classification (I8)
|
96% |
619
889.1 IPS |
|
Machine Translation (F32)
|
100% |
1347
24.8 IPS |
|
Machine Translation (F16)
|
99% |
1781
32.8 IPS |
|
Machine Translation (I8)
|
99% |
1340
24.7 IPS |