Upload Date | February 20 2025 07:36 AM |
Views | 6 |
System Information | |
---|---|
Operating System | iOS 16.7.10 |
Model | iPhone 8 Plus |
Model ID | iPhone10,2 |
Motherboard | D21AP |
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 | 2.90 GB |
Inference Information | |
---|---|
Framework | Core ML |
Backend | Neural Engine |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
196
36.8 IPS |
|
Image Classification (F16)
|
100% |
158
29.6 IPS |
|
Image Classification (I8)
|
99% |
145
27.1 IPS |
|
Image Segmentation (F32)
|
100% |
187
3.12 IPS |
|
Image Segmentation (F16)
|
100% |
198
3.30 IPS |
|
Image Segmentation (I8)
|
100% |
198
3.31 IPS |
|
Pose Estimation (F32)
|
100% |
2280
2.76 IPS |
|
Pose Estimation (F16)
|
100% |
2638
3.19 IPS |
|
Pose Estimation (I8)
|
100% |
2624
3.18 IPS |
|
Object Detection (F32)
|
100% |
319
23.9 IPS |
|
Object Detection (F16)
|
100% |
260
19.4 IPS |
|
Object Detection (I8)
|
97% |
303
22.6 IPS |
|
Face Detection (F32)
|
100% |
877
10.4 IPS |
|
Face Detection (F16)
|
100% |
975
11.6 IPS |
|
Face Detection (I8)
|
99% |
986
11.7 IPS |
|
Depth Estimation (F32)
|
100% |
2149
16.7 IPS |
|
Depth Estimation (F16)
|
100% |
2480
19.2 IPS |
|
Depth Estimation (I8)
|
99% |
2645
20.5 IPS |
|
Style Transfer (F32)
|
100% |
4645
6.11 IPS |
|
Style Transfer (F16)
|
100% |
5217
6.86 IPS |
|
Style Transfer (I8)
|
100% |
5030
6.62 IPS |
|
Image Super-Resolution (F32)
|
100% |
979
35.0 IPS |
|
Image Super-Resolution (F16)
|
100% |
1182
42.2 IPS |
|
Image Super-Resolution (I8)
|
100% |
1132
40.4 IPS |
|
Text Classification (F32)
|
100% |
49
70.9 IPS |
|
Text Classification (F16)
|
100% |
199
286.1 IPS |
|
Text Classification (I8)
|
96% |
204
293.2 IPS |
|
Machine Translation (F32)
|
100% |
263
4.85 IPS |
|
Machine Translation (F16)
|
100% |
240
4.41 IPS |
|
Machine Translation (I8)
|
99% |
311
5.72 IPS |