Upload Date | October 25 2024 08:04 PM |
Views | 3 |
System Information | |
---|---|
Operating System | iOS 16.7.10 |
Model | iPhone X |
Model ID | iPhone10,6 |
Motherboard | D221AP |
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 | 2.76 GB |
Inference Information | |
---|---|
Framework | Core ML |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
146
27.4 IPS |
|
Image Classification (F16)
|
100% |
143
26.7 IPS |
|
Image Classification (I8)
|
99% |
142
26.6 IPS |
|
Image Segmentation (F32)
|
100% |
141
2.36 IPS |
|
Image Segmentation (F16)
|
100% |
139
2.32 IPS |
|
Image Segmentation (I8)
|
100% |
139
2.32 IPS |
|
Pose Estimation (F32)
|
100% |
550
0.67 IPS |
|
Pose Estimation (F16)
|
100% |
549
0.66 IPS |
|
Pose Estimation (I8)
|
100% |
548
0.66 IPS |
|
Object Detection (F32)
|
100% |
163
12.2 IPS |
|
Object Detection (F16)
|
100% |
155
11.6 IPS |
|
Object Detection (I8)
|
97% |
164
12.3 IPS |
|
Face Detection (F32)
|
100% |
359
4.27 IPS |
|
Face Detection (F16)
|
100% |
355
4.22 IPS |
|
Face Detection (I8)
|
99% |
356
4.23 IPS |
|
Depth Estimation (F32)
|
100% |
389
3.02 IPS |
|
Depth Estimation (F16)
|
100% |
383
2.97 IPS |
|
Depth Estimation (I8)
|
99% |
374
2.90 IPS |
|
Style Transfer (F32)
|
100% |
970
1.28 IPS |
|
Style Transfer (F16)
|
100% |
973
1.28 IPS |
|
Style Transfer (I8)
|
100% |
971
1.28 IPS |
|
Image Super-Resolution (F32)
|
100% |
380
13.6 IPS |
|
Image Super-Resolution (F16)
|
100% |
380
13.6 IPS |
|
Image Super-Resolution (I8)
|
100% |
380
13.6 IPS |
|
Text Classification (F32)
|
100% |
144
206.3 IPS |
|
Text Classification (F16)
|
100% |
150
214.9 IPS |
|
Text Classification (I8)
|
96% |
149
213.6 IPS |
|
Machine Translation (F32)
|
100% |
254
4.68 IPS |
|
Machine Translation (F16)
|
100% |
198
3.64 IPS |
|
Machine Translation (I8)
|
99% |
254
4.67 IPS |