User | 46fy45 |
Upload Date | August 28 2024 08:05 AM |
Views | 3 |
System Information | |
---|---|
Operating System | iOS 16.7.7 |
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 | Neural Engine |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
176
33.0 IPS |
|
Image Classification (F16)
|
100% |
146
27.3 IPS |
|
Image Classification (I8)
|
99% |
146
27.4 IPS |
|
Image Segmentation (F32)
|
100% |
187
3.12 IPS |
|
Image Segmentation (F16)
|
100% |
199
3.32 IPS |
|
Image Segmentation (I8)
|
100% |
200
3.33 IPS |
|
Pose Estimation (F32)
|
100% |
2120
2.57 IPS |
|
Pose Estimation (F16)
|
100% |
2418
2.93 IPS |
|
Pose Estimation (I8)
|
100% |
2342
2.84 IPS |
|
Object Detection (F32)
|
100% |
297
22.2 IPS |
|
Object Detection (F16)
|
100% |
271
20.2 IPS |
|
Object Detection (I8)
|
97% |
302
22.5 IPS |
|
Face Detection (F32)
|
100% |
1016
12.1 IPS |
|
Face Detection (F16)
|
100% |
1019
12.1 IPS |
|
Face Detection (I8)
|
99% |
938
11.2 IPS |
|
Depth Estimation (F32)
|
100% |
2162
16.8 IPS |
|
Depth Estimation (F16)
|
100% |
2732
21.2 IPS |
|
Depth Estimation (I8)
|
99% |
2362
18.3 IPS |
|
Style Transfer (F32)
|
100% |
3805
5.01 IPS |
|
Style Transfer (F16)
|
100% |
4520
5.95 IPS |
|
Style Transfer (I8)
|
100% |
4699
6.18 IPS |
|
Image Super-Resolution (F32)
|
100% |
957
34.2 IPS |
|
Image Super-Resolution (F16)
|
100% |
1133
40.4 IPS |
|
Image Super-Resolution (I8)
|
100% |
1000
35.7 IPS |
|
Text Classification (F32)
|
100% |
53
76.5 IPS |
|
Text Classification (F16)
|
100% |
200
287.8 IPS |
|
Text Classification (I8)
|
96% |
201
288.6 IPS |
|
Machine Translation (F32)
|
100% |
261
4.80 IPS |
|
Machine Translation (F16)
|
100% |
166
3.05 IPS |
|
Machine Translation (I8)
|
99% |
190
3.50 IPS |