Upload Date | June 17 2024 04:26 PM |
Views | 2 |
System Information | |
---|---|
Operating System | iOS 18.0 |
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 | 5.53 GB |
Inference Information | |
---|---|
Framework | Core ML |
Backend | Neural Engine |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
1056
197.6 IPS |
|
Image Classification (F16)
|
100% |
5429
1.02 KIPS |
|
Image Classification (I8)
|
99% |
5915
1.11 KIPS |
|
Image Segmentation (F32)
|
100% |
1222
20.4 IPS |
|
Image Segmentation (F16)
|
100% |
1718
28.7 IPS |
|
Image Segmentation (I8)
|
100% |
1761
29.4 IPS |
|
Pose Estimation (F32)
|
100% |
11564
14.0 IPS |
|
Pose Estimation (F16)
|
100% |
77946
94.4 IPS |
|
Pose Estimation (I8)
|
100% |
80753
97.8 IPS |
|
Object Detection (F32)
|
100% |
1348
100.6 IPS |
|
Object Detection (F16)
|
100% |
4037
301.4 IPS |
|
Object Detection (I8)
|
97% |
1386
103.5 IPS |
|
Face Detection (F32)
|
100% |
5033
59.8 IPS |
|
Face Detection (F16)
|
97% |
11789
140.2 IPS |
|
Face Detection (I8)
|
96% |
11760
139.8 IPS |
|
Depth Estimation (F32)
|
100% |
8755
67.9 IPS |
|
Depth Estimation (F16)
|
100% |
33460
259.5 IPS |
|
Depth Estimation (I8)
|
37% |
34352
266.4 IPS |
|
Style Transfer (F32)
|
100% |
21182
27.9 IPS |
|
Style Transfer (F16)
|
100% |
109861
144.5 IPS |
|
Style Transfer (I8)
|
100% |
110885
145.9 IPS |
|
Image Super-Resolution (F32)
|
100% |
4302
153.6 IPS |
|
Image Super-Resolution (F16)
|
100% |
17277
617.0 IPS |
|
Image Super-Resolution (I8)
|
100% |
17501
625.0 IPS |
|
Text Classification (F32)
|
100% |
2453
3.53 KIPS |
|
Text Classification (F16)
|
100% |
3059
4.40 KIPS |
|
Text Classification (I8)
|
96% |
3119
4.48 KIPS |
|
Machine Translation (F32)
|
100% |
556
10.2 IPS |
|
Machine Translation (F16)
|
100% |
1039
19.1 IPS |
|
Machine Translation (I8)
|
99% |
556
10.2 IPS |