Upload Date | August 22 2024 11:20 AM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 17.6.1 |
Model | iPad mini (5th generation) |
Model ID | iPad11,2 |
Motherboard | J211AP |
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 | 2.85 GB |
Inference Information | |
---|---|
Framework | Core ML |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
316
59.1 IPS |
|
Image Classification (F16)
|
100% |
546
102.3 IPS |
|
Image Classification (I8)
|
99% |
542
101.4 IPS |
|
Image Segmentation (F32)
|
100% |
229
3.82 IPS |
|
Image Segmentation (F16)
|
100% |
291
4.86 IPS |
|
Image Segmentation (I8)
|
100% |
286
4.78 IPS |
|
Pose Estimation (F32)
|
100% |
1110
1.34 IPS |
|
Pose Estimation (F16)
|
100% |
806
0.98 IPS |
|
Pose Estimation (I8)
|
100% |
822
1.00 IPS |
|
Object Detection (F32)
|
100% |
347
25.9 IPS |
|
Object Detection (F16)
|
100% |
610
45.5 IPS |
|
Object Detection (I8)
|
97% |
344
25.6 IPS |
|
Face Detection (F32)
|
100% |
720
8.56 IPS |
|
Face Detection (F16)
|
97% |
1417
16.8 IPS |
|
Face Detection (I8)
|
96% |
1458
17.3 IPS |
|
Depth Estimation (F32)
|
100% |
887
6.88 IPS |
|
Depth Estimation (F16)
|
100% |
1594
12.4 IPS |
|
Depth Estimation (I8)
|
99% |
1626
12.6 IPS |
|
Style Transfer (F32)
|
100% |
2349
3.09 IPS |
|
Style Transfer (F16)
|
100% |
4068
5.35 IPS |
|
Style Transfer (I8)
|
100% |
3633
4.78 IPS |
|
Image Super-Resolution (F32)
|
100% |
748
26.7 IPS |
|
Image Super-Resolution (F16)
|
100% |
913
32.6 IPS |
|
Image Super-Resolution (I8)
|
100% |
915
32.7 IPS |
|
Text Classification (F32)
|
100% |
271
388.9 IPS |
|
Text Classification (F16)
|
100% |
521
749.1 IPS |
|
Text Classification (I8)
|
96% |
528
758.9 IPS |
|
Machine Translation (F32)
|
100% |
388
7.15 IPS |
|
Machine Translation (F16)
|
100% |
544
10.0 IPS |
|
Machine Translation (I8)
|
99% |
371
6.83 IPS |