User | 46fy45 |
Upload Date | August 17 2024 06:44 PM |
Views | 2 |
System Information | |
---|---|
Operating System | iOS 16.1 |
Model | iPhone 12 |
Model ID | iPhone13,2 |
Motherboard | D53gAP |
CPU Information | |
---|---|
Name | Apple A14 Bionic |
Topology | 1 Processor, 6 Cores |
Identifier | ARM |
Base Frequency | 2.99 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 | 3.58 GB |
Inference Information | |
---|---|
Framework | Core ML |
Backend | GPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
398
74.4 IPS |
|
Image Classification (F16)
|
100% |
380
71.0 IPS |
|
Image Classification (I8)
|
99% |
380
71.2 IPS |
|
Image Segmentation (F32)
|
100% |
325
5.43 IPS |
|
Image Segmentation (F16)
|
100% |
323
5.39 IPS |
|
Image Segmentation (I8)
|
100% |
321
5.36 IPS |
|
Pose Estimation (F32)
|
100% |
6180
7.48 IPS |
|
Pose Estimation (F16)
|
100% |
6403
7.75 IPS |
|
Pose Estimation (I8)
|
100% |
6155
7.45 IPS |
|
Object Detection (F32)
|
100% |
572
42.7 IPS |
|
Object Detection (F16)
|
100% |
479
35.8 IPS |
|
Object Detection (I8)
|
97% |
647
48.3 IPS |
|
Face Detection (F32)
|
100% |
3229
38.4 IPS |
|
Face Detection (F16)
|
97% |
3553
42.2 IPS |
|
Face Detection (I8)
|
96% |
3571
42.5 IPS |
|
Depth Estimation (F32)
|
100% |
5219
40.5 IPS |
|
Depth Estimation (F16)
|
100% |
5486
42.5 IPS |
|
Depth Estimation (I8)
|
99% |
5549
43.0 IPS |
|
Style Transfer (F32)
|
100% |
11050
14.5 IPS |
|
Style Transfer (F16)
|
100% |
12269
16.1 IPS |
|
Style Transfer (I8)
|
100% |
13329
17.5 IPS |
|
Image Super-Resolution (F32)
|
100% |
2008
71.7 IPS |
|
Image Super-Resolution (F16)
|
100% |
1877
67.0 IPS |
|
Image Super-Resolution (I8)
|
100% |
1971
70.4 IPS |
|
Text Classification (F32)
|
100% |
284
407.5 IPS |
|
Text Classification (F16)
|
100% |
318
456.7 IPS |
|
Text Classification (I8)
|
96% |
313
450.3 IPS |
|
Machine Translation (F32)
|
100% |
503
9.26 IPS |
|
Machine Translation (F16)
|
100% |
504
9.27 IPS |
|
Machine Translation (I8)
|
99% |
491
9.03 IPS |