iPad (8th generation)
Geekbench ML Score
561
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 21 2021 06:31 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| Model | iPad (8th generation) |
| Model ID | iPad11,6 |
| Motherboard | J171aAP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 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 | 2.88 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
457
49.0 IPS |
|
|
Image Classification (F16)
|
100% |
447
47.9 IPS |
|
|
Image Classification (I8)
|
81% |
285
30.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
749
4.63 IPS |
|
|
Image Segmentation (F16)
|
100% |
735
4.54 IPS |
|
|
Image Segmentation (I8)
|
89% |
945
5.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
232
0.94 IPS |
|
|
Pose Estimation (F16)
|
100% |
229
0.93 IPS |
|
|
Pose Estimation (I8)
|
80% |
208
0.84 IPS |
|
|
Object Detection (F32)
|
100% |
670
23.5 IPS |
|
|
Object Detection (F16)
|
100% |
671
23.5 IPS |
|
|
Object Detection (I8)
|
52% |
531
18.6 IPS |
|
|
Face Detection (F32)
|
100% |
806
9.26 IPS |
|
|
Face Detection (F16)
|
100% |
768
8.83 IPS |
|
|
Face Detection (I8)
|
75% |
591
6.79 IPS |
|
|
Text Classification (F32)
|
100% |
784
310.0 IPS |
|
|
Text Classification (F16)
|
100% |
777
307.2 IPS |
|
|
Machine Translation (F32)
|
100% |
981
151.3 IPS |
|
|
Machine Translation (F16)
|
100% |
991
152.7 IPS |
