iPad (6th generation)
Geekbench ML Score
455
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 11:07 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| Model | iPad (6th generation) |
| Model ID | iPad7,5 |
| Motherboard | J71bAP |
| CPU Information | |
|---|---|
| Name | Apple A10 Fusion |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 2.32 GHz |
| L1 Instruction Cache | 64.0 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 3.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 1.93 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
286
30.6 IPS |
|
|
Image Classification (F16)
|
100% |
290
31.1 IPS |
|
|
Image Classification (I8)
|
81% |
563
60.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
535
3.31 IPS |
|
|
Image Segmentation (F16)
|
100% |
536
3.31 IPS |
|
|
Image Segmentation (I8)
|
89% |
1021
6.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
160
0.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
155
0.63 IPS |
|
|
Pose Estimation (I8)
|
80% |
213
0.86 IPS |
|
|
Object Detection (F32)
|
100% |
476
16.7 IPS |
|
|
Object Detection (F16)
|
100% |
474
16.6 IPS |
|
|
Object Detection (I8)
|
52% |
750
26.3 IPS |
|
|
Face Detection (F32)
|
100% |
597
6.86 IPS |
|
|
Face Detection (F16)
|
100% |
572
6.58 IPS |
|
|
Face Detection (I8)
|
75% |
679
7.80 IPS |
|
|
Text Classification (F32)
|
100% |
544
215.2 IPS |
|
|
Text Classification (F16)
|
100% |
539
213.2 IPS |
|
|
Machine Translation (F32)
|
100% |
617
95.2 IPS |
|
|
Machine Translation (F16)
|
100% |
630
97.1 IPS |
