Upload Date | March 12 2025 03:55 PM |
Views | 7 |
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% |
938
175.6 IPS |
|
Image Classification (F16)
|
100% |
902
168.8 IPS |
|
Image Classification (I8)
|
99% |
908
169.9 IPS |
|
Image Segmentation (F32)
|
100% |
637
10.6 IPS |
|
Image Segmentation (F16)
|
100% |
579
9.67 IPS |
|
Image Segmentation (I8)
|
100% |
571
9.54 IPS |
|
Pose Estimation (F32)
|
100% |
5446
6.59 IPS |
|
Pose Estimation (F16)
|
100% |
9571
11.6 IPS |
|
Pose Estimation (I8)
|
100% |
9550
11.6 IPS |
|
Object Detection (F32)
|
100% |
1023
76.3 IPS |
|
Object Detection (F16)
|
100% |
1043
77.9 IPS |
|
Object Detection (I8)
|
97% |
1031
77.0 IPS |
|
Face Detection (F32)
|
100% |
1772
21.1 IPS |
|
Face Detection (F16)
|
100% |
1618
19.2 IPS |
|
Face Detection (I8)
|
99% |
1614
19.2 IPS |
|
Depth Estimation (F32)
|
100% |
3247
25.2 IPS |
|
Depth Estimation (F16)
|
99% |
3658
28.4 IPS |
|
Depth Estimation (I8)
|
99% |
3671
28.5 IPS |
|
Style Transfer (F32)
|
100% |
9892
13.0 IPS |
|
Style Transfer (F16)
|
100% |
11726
15.4 IPS |
|
Style Transfer (I8)
|
100% |
11780
15.5 IPS |
|
Image Super-Resolution (F32)
|
100% |
2417
86.3 IPS |
|
Image Super-Resolution (F16)
|
100% |
2547
91.0 IPS |
|
Image Super-Resolution (I8)
|
100% |
2557
91.3 IPS |
|
Text Classification (F32)
|
100% |
980
1.41 KIPS |
|
Text Classification (F16)
|
100% |
460
661.8 IPS |
|
Text Classification (I8)
|
96% |
609
874.6 IPS |
|
Machine Translation (F32)
|
100% |
1351
24.9 IPS |
|
Machine Translation (F16)
|
99% |
1773
32.6 IPS |
|
Machine Translation (I8)
|
99% |
1338
24.6 IPS |