Upload Date | May 18 2024 09:46 AM |
Views | 3 |
System Information | |
---|---|
Operating System | iOS 17.5 |
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 | 5.54 GB |
Inference Information | |
---|---|
Framework | Core ML |
Backend | Neural Engine |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
683
127.8 IPS |
|
Image Classification (F16)
|
100% |
4935
923.5 IPS |
|
Image Classification (I8)
|
99% |
5794
1.08 KIPS |
|
Image Segmentation (F32)
|
100% |
1298
21.7 IPS |
|
Image Segmentation (F16)
|
100% |
1694
28.3 IPS |
|
Image Segmentation (I8)
|
100% |
1710
28.6 IPS |
|
Pose Estimation (F32)
|
100% |
10828
13.1 IPS |
|
Pose Estimation (F16)
|
100% |
76196
92.3 IPS |
|
Pose Estimation (I8)
|
100% |
76957
93.2 IPS |
|
Object Detection (F32)
|
100% |
1269
94.7 IPS |
|
Object Detection (F16)
|
100% |
3537
264.1 IPS |
|
Object Detection (I8)
|
97% |
1100
82.1 IPS |
|
Face Detection (F32)
|
100% |
3510
41.7 IPS |
|
Face Detection (F16)
|
97% |
9749
115.9 IPS |
|
Face Detection (I8)
|
96% |
9830
116.9 IPS |
|
Depth Estimation (F32)
|
100% |
8838
68.5 IPS |
|
Depth Estimation (F16)
|
100% |
37490
290.7 IPS |
|
Depth Estimation (I8)
|
37% |
30203
234.2 IPS |
|
Style Transfer (F32)
|
100% |
18998
25.0 IPS |
|
Style Transfer (F16)
|
100% |
103253
135.8 IPS |
|
Style Transfer (I8)
|
100% |
97825
128.7 IPS |
|
Image Super-Resolution (F32)
|
100% |
3639
129.9 IPS |
|
Image Super-Resolution (F16)
|
100% |
13963
498.7 IPS |
|
Image Super-Resolution (I8)
|
100% |
14999
535.7 IPS |
|
Text Classification (F32)
|
100% |
368
529.3 IPS |
|
Text Classification (F16)
|
100% |
862
1.24 KIPS |
|
Text Classification (I8)
|
96% |
378
542.6 IPS |
|
Machine Translation (F32)
|
100% |
473
8.71 IPS |
|
Machine Translation (F16)
|
100% |
1232
22.7 IPS |
|
Machine Translation (I8)
|
99% |
500
9.21 IPS |