Upload Date | May 09 2024 03:09 AM |
Views | 1 |
System Information | |
---|---|
Operating System | iOS 17.4.1 |
Model | iPad Pro (12.9-inch 5th generation) |
Model ID | iPad13,8 |
Motherboard | J522AP |
CPU Information | |
---|---|
Name | Apple M1 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM |
Base Frequency | 3.19 GHz |
Cluster 1 | 4 Cores |
Cluster 2 | 4 Cores |
L1 Instruction Cache | 128 KB x 1 |
L1 Data Cache | 64.0 KB x 1 |
L2 Cache | 4.00 MB x 1 |
Memory Information | |
---|---|
Size | 7.31 GB |
Inference Information | |
---|---|
Framework | Core ML |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
1283
240.0 IPS |
|
Image Classification (F16)
|
100% |
1666
311.8 IPS |
|
Image Classification (I8)
|
99% |
1663
311.3 IPS |
|
Image Segmentation (F32)
|
100% |
599
10.0 IPS |
|
Image Segmentation (F16)
|
100% |
597
9.98 IPS |
|
Image Segmentation (I8)
|
100% |
594
9.92 IPS |
|
Pose Estimation (F32)
|
100% |
5623
6.81 IPS |
|
Pose Estimation (F16)
|
100% |
12928
15.7 IPS |
|
Pose Estimation (I8)
|
100% |
12948
15.7 IPS |
|
Object Detection (F32)
|
100% |
1267
94.6 IPS |
|
Object Detection (F16)
|
100% |
1665
124.3 IPS |
|
Object Detection (I8)
|
97% |
1274
95.1 IPS |
|
Face Detection (F32)
|
100% |
2391
28.4 IPS |
|
Face Detection (F16)
|
97% |
4010
47.7 IPS |
|
Face Detection (I8)
|
97% |
4004
47.6 IPS |
|
Depth Estimation (F32)
|
100% |
5183
40.2 IPS |
|
Depth Estimation (F16)
|
100% |
8131
63.1 IPS |
|
Depth Estimation (I8)
|
99% |
8135
63.1 IPS |
|
Style Transfer (F32)
|
100% |
15619
20.5 IPS |
|
Style Transfer (F16)
|
100% |
24481
32.2 IPS |
|
Style Transfer (I8)
|
100% |
24372
32.1 IPS |
|
Image Super-Resolution (F32)
|
100% |
3504
125.1 IPS |
|
Image Super-Resolution (F16)
|
100% |
4594
164.1 IPS |
|
Image Super-Resolution (I8)
|
100% |
4755
169.8 IPS |
|
Text Classification (F32)
|
100% |
2092
3.01 KIPS |
|
Text Classification (F16)
|
100% |
3481
5.00 KIPS |
|
Text Classification (I8)
|
96% |
3394
4.88 KIPS |
|
Machine Translation (F32)
|
100% |
731
13.5 IPS |
|
Machine Translation (F16)
|
100% |
869
16.0 IPS |
|
Machine Translation (I8)
|
99% |
746
13.7 IPS |