iPad (6th generation)
Geekbench ML Score
454
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 23 2021 10:28 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| 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% |
283
30.3 IPS |
|
|
Image Classification (F16)
|
100% |
278
29.8 IPS |
|
|
Image Classification (I8)
|
81% |
548
58.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
531
3.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
532
3.29 IPS |
|
|
Image Segmentation (I8)
|
89% |
998
6.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
161
0.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
158
0.64 IPS |
|
|
Pose Estimation (I8)
|
80% |
215
0.87 IPS |
|
|
Object Detection (F32)
|
100% |
470
16.5 IPS |
|
|
Object Detection (F16)
|
100% |
471
16.5 IPS |
|
|
Object Detection (I8)
|
52% |
735
25.8 IPS |
|
|
Face Detection (F32)
|
100% |
594
6.82 IPS |
|
|
Face Detection (F16)
|
100% |
576
6.62 IPS |
|
|
Face Detection (I8)
|
75% |
673
7.74 IPS |
|
|
Text Classification (F32)
|
100% |
551
217.9 IPS |
|
|
Text Classification (F16)
|
100% |
601
237.8 IPS |
|
|
Machine Translation (F32)
|
100% |
600
92.4 IPS |
|
|
Machine Translation (F16)
|
100% |
633
97.5 IPS |
