Upload Date | August 24 2024 05:45 PM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 17.6.1 |
Model | iPhone XS Max |
Model ID | iPhone11,6 |
Motherboard | D331pAP |
CPU Information | |
---|---|
Name | Apple A12 Bionic |
Topology | 1 Processor, 6 Cores |
Identifier | ARM |
Base Frequency | 2.49 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 | 2.00 MB x 1 |
Memory Information | |
---|---|
Size | 3.67 GB |
Inference Information | |
---|---|
Framework | Core ML |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
360
67.4 IPS |
|
Image Classification (F16)
|
100% |
563
105.3 IPS |
|
Image Classification (I8)
|
99% |
563
105.4 IPS |
|
Image Segmentation (F32)
|
100% |
245
4.10 IPS |
|
Image Segmentation (F16)
|
100% |
292
4.88 IPS |
|
Image Segmentation (I8)
|
100% |
292
4.88 IPS |
|
Pose Estimation (F32)
|
100% |
1113
1.35 IPS |
|
Pose Estimation (F16)
|
100% |
1108
1.34 IPS |
|
Pose Estimation (I8)
|
100% |
1117
1.35 IPS |
|
Object Detection (F32)
|
100% |
369
27.5 IPS |
|
Object Detection (F16)
|
100% |
624
46.6 IPS |
|
Object Detection (I8)
|
97% |
365
27.3 IPS |
|
Face Detection (F32)
|
100% |
772
9.17 IPS |
|
Face Detection (F16)
|
97% |
1407
16.7 IPS |
|
Face Detection (I8)
|
96% |
1441
17.1 IPS |
|
Depth Estimation (F32)
|
100% |
789
6.12 IPS |
|
Depth Estimation (F16)
|
100% |
1660
12.9 IPS |
|
Depth Estimation (I8)
|
99% |
1653
12.8 IPS |
|
Style Transfer (F32)
|
100% |
2276
2.99 IPS |
|
Style Transfer (F16)
|
100% |
4042
5.32 IPS |
|
Style Transfer (I8)
|
100% |
4301
5.66 IPS |
|
Image Super-Resolution (F32)
|
100% |
719
25.7 IPS |
|
Image Super-Resolution (F16)
|
100% |
967
34.5 IPS |
|
Image Super-Resolution (I8)
|
100% |
969
34.6 IPS |
|
Text Classification (F32)
|
100% |
267
383.1 IPS |
|
Text Classification (F16)
|
100% |
519
745.6 IPS |
|
Text Classification (I8)
|
96% |
519
746.3 IPS |
|
Machine Translation (F32)
|
100% |
350
6.44 IPS |
|
Machine Translation (F16)
|
100% |
467
8.59 IPS |
|
Machine Translation (I8)
|
99% |
319
5.88 IPS |