iPad (6th generation)
Geekbench ML Score
450
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 08:58 PM |
| Views | 1 |
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% |
298
32.0 IPS |
|
|
Image Classification (F16)
|
100% |
285
30.6 IPS |
|
|
Image Classification (I8)
|
81% |
555
59.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
528
3.26 IPS |
|
|
Image Segmentation (F16)
|
100% |
524
3.23 IPS |
|
|
Image Segmentation (I8)
|
89% |
991
6.12 IPS |
|
|
Pose Estimation (F32)
|
100% |
152
0.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
151
0.61 IPS |
|
|
Pose Estimation (I8)
|
80% |
210
0.85 IPS |
|
|
Object Detection (F32)
|
100% |
476
16.7 IPS |
|
|
Object Detection (F16)
|
100% |
485
17.0 IPS |
|
|
Object Detection (I8)
|
52% |
729
25.6 IPS |
|
|
Face Detection (F32)
|
100% |
591
6.79 IPS |
|
|
Face Detection (F16)
|
100% |
577
6.63 IPS |
|
|
Face Detection (I8)
|
75% |
661
7.60 IPS |
|
|
Text Classification (F32)
|
100% |
536
211.9 IPS |
|
|
Text Classification (F16)
|
100% |
542
214.4 IPS |
|
|
Machine Translation (F32)
|
100% |
606
93.5 IPS |
|
|
Machine Translation (F16)
|
100% |
631
97.2 IPS |
