iPad Pro 12.9-inch (5th generation) iPad13,10
Geekbench ML Score
2594
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | May 21 2021 05:18 AM |
| Views | 22 |
| Notes | iPad Pro 12.9-inch (5th generation) with Wi-Fi + Cellular/512GB |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.5.1 |
| Model | iPad13,10 |
| Model ID | iPad13,10 |
| Motherboard | J523AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| 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 | 7.22 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5593
599.2 IPS |
|
|
Image Classification (F16)
|
100% |
5565
596.2 IPS |
|
|
Image Classification (I8)
|
81% |
692
74.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1968
12.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1967
12.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
1249
7.71 IPS |
|
|
Pose Estimation (F32)
|
100% |
19373
78.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
18842
76.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
236
0.96 IPS |
|
|
Object Detection (F32)
|
100% |
6919
242.8 IPS |
|
|
Object Detection (F16)
|
100% |
6936
243.4 IPS |
|
|
Object Detection (I8)
|
52% |
973
34.1 IPS |
|
|
Face Detection (F32)
|
100% |
7272
83.5 IPS |
|
|
Face Detection (F16)
|
100% |
7328
84.2 IPS |
|
|
Face Detection (I8)
|
75% |
949
10.9 IPS |
|
|
Text Classification (F32)
|
100% |
1017
402.4 IPS |
|
|
Text Classification (F16)
|
100% |
1012
400.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1843
284.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1836
282.9 IPS |
