iPad Pro 11-inch (2nd generation)
Geekbench ML Score
1462
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 06 2022 01:15 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0 |
| Model | iPad Pro 11-inch (2nd generation) |
| Model ID | iPad8,10 |
| Motherboard | J418AP |
| CPU Information | |
|---|---|
| Name | Apple A12Z Bionic |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| 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 | 5.57 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3708
397.3 IPS |
|
|
Image Classification (F16)
|
100% |
3717
398.3 IPS |
|
|
Image Classification (I8)
|
81% |
402
43.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1485
9.17 IPS |
|
|
Image Segmentation (F16)
|
100% |
1479
9.14 IPS |
|
|
Image Segmentation (I8)
|
89% |
748
4.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
7873
31.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
7872
31.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
142
0.57 IPS |
|
|
Object Detection (F32)
|
94% |
4024
141.2 IPS |
|
|
Object Detection (F16)
|
94% |
4026
141.3 IPS |
|
|
Object Detection (I8)
|
52% |
563
19.7 IPS |
|
|
Face Detection (F32)
|
67% |
5143
59.1 IPS |
|
|
Face Detection (F16)
|
67% |
5140
59.0 IPS |
|
|
Face Detection (I8)
|
75% |
552
6.35 IPS |
|
|
Text Classification (F32)
|
100% |
371
146.7 IPS |
|
|
Text Classification (F16)
|
100% |
362
143.1 IPS |
|
|
Machine Translation (F32)
|
100% |
981
151.1 IPS |
|
|
Machine Translation (F16)
|
100% |
980
151.0 IPS |
