Upload Date | September 02 2024 04:48 PM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 16.7.10 |
Model | iPhone 8 |
Model ID | iPhone10,1 |
Motherboard | D20AP |
CPU Information | |
---|---|
Name | Apple A11 Bionic |
Topology | 1 Processor, 6 Cores |
Identifier | ARM |
Base Frequency | 2.39 GHz |
Cluster 1 | 2 Cores |
Cluster 2 | 4 Cores |
L1 Instruction Cache | 48.0 KB x 1 |
L1 Data Cache | 32.0 KB x 1 |
L2 Cache | 8.00 MB x 1 |
Memory Information | |
---|---|
Size | 1.93 GB |
Inference Information | |
---|---|
Framework | Core ML |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
232
43.4 IPS |
|
Image Classification (F16)
|
100% |
213
39.8 IPS |
|
Image Classification (I8)
|
99% |
210
39.2 IPS |
|
Image Segmentation (F32)
|
100% |
195
3.26 IPS |
|
Image Segmentation (F16)
|
100% |
195
3.26 IPS |
|
Image Segmentation (I8)
|
100% |
176
2.94 IPS |
|
Pose Estimation (F32)
|
100% |
912
1.10 IPS |
|
Pose Estimation (F16)
|
100% |
872
1.06 IPS |
|
Pose Estimation (I8)
|
100% |
875
1.06 IPS |
|
Object Detection (F32)
|
100% |
190
14.2 IPS |
|
Object Detection (F16)
|
100% |
215
16.1 IPS |
|
Object Detection (I8)
|
97% |
237
17.7 IPS |
|
Face Detection (F32)
|
100% |
446
5.31 IPS |
|
Face Detection (F16)
|
100% |
439
5.21 IPS |
|
Face Detection (I8)
|
99% |
438
5.21 IPS |
|
Depth Estimation (F32)
|
100% |
568
4.40 IPS |
|
Depth Estimation (F16)
|
100% |
520
4.03 IPS |
|
Depth Estimation (I8)
|
99% |
525
4.07 IPS |
|
Style Transfer (F32)
|
100% |
1466
1.93 IPS |
|
Style Transfer (F16)
|
100% |
1403
1.85 IPS |
|
Style Transfer (I8)
|
100% |
1399
1.84 IPS |
|
Image Super-Resolution (F32)
|
100% |
423
15.1 IPS |
|
Image Super-Resolution (F16)
|
100% |
509
18.2 IPS |
|
Image Super-Resolution (I8)
|
100% |
510
18.2 IPS |
|
Text Classification (F32)
|
100% |
207
297.8 IPS |
|
Text Classification (F16)
|
100% |
215
308.3 IPS |
|
Text Classification (I8)
|
96% |
216
311.0 IPS |
|
Machine Translation (F32)
|
100% |
315
5.79 IPS |
|
Machine Translation (F16)
|
100% |
236
4.35 IPS |
|
Machine Translation (I8)
|
99% |
287
5.29 IPS |