Upload Date | August 15 2024 06:59 PM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 17.6.1 |
Model | iPhone 13 mini |
Model ID | iPhone14,4 |
Motherboard | D16AP |
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 | 3.55 GB |
Inference Information | |
---|---|
Framework | Core ML |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
1394
260.9 IPS |
|
Image Classification (F16)
|
100% |
1742
326.0 IPS |
|
Image Classification (I8)
|
99% |
1742
326.0 IPS |
|
Image Segmentation (F32)
|
100% |
824
13.8 IPS |
|
Image Segmentation (F16)
|
100% |
823
13.7 IPS |
|
Image Segmentation (I8)
|
100% |
822
13.7 IPS |
|
Pose Estimation (F32)
|
100% |
5683
6.88 IPS |
|
Pose Estimation (F16)
|
100% |
13336
16.1 IPS |
|
Pose Estimation (I8)
|
100% |
13273
16.1 IPS |
|
Object Detection (F32)
|
100% |
1368
102.2 IPS |
|
Object Detection (F16)
|
100% |
1903
142.1 IPS |
|
Object Detection (I8)
|
97% |
1387
103.5 IPS |
|
Face Detection (F32)
|
100% |
2476
29.4 IPS |
|
Face Detection (F16)
|
97% |
3976
47.3 IPS |
|
Face Detection (I8)
|
97% |
3864
45.9 IPS |
|
Depth Estimation (F32)
|
100% |
4993
38.7 IPS |
|
Depth Estimation (F16)
|
100% |
8079
62.7 IPS |
|
Depth Estimation (I8)
|
99% |
8077
62.6 IPS |
|
Style Transfer (F32)
|
100% |
16292
21.4 IPS |
|
Style Transfer (F16)
|
100% |
24959
32.8 IPS |
|
Style Transfer (I8)
|
100% |
25096
33.0 IPS |
|
Image Super-Resolution (F32)
|
100% |
3751
134.0 IPS |
|
Image Super-Resolution (F16)
|
100% |
5036
179.9 IPS |
|
Image Super-Resolution (I8)
|
100% |
4916
175.6 IPS |
|
Text Classification (F32)
|
100% |
2216
3.18 KIPS |
|
Text Classification (F16)
|
100% |
3489
5.01 KIPS |
|
Text Classification (I8)
|
96% |
3477
5.00 KIPS |
|
Machine Translation (F32)
|
100% |
999
18.4 IPS |
|
Machine Translation (F16)
|
100% |
1301
24.0 IPS |
|
Machine Translation (I8)
|
99% |
1086
20.0 IPS |