iPad (8th generation)
Geekbench ML Score
554
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 14 2021 06:19 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.4.2 |
| Model | iPad (8th generation) |
| Model ID | iPad11,7 |
| Motherboard | J172aAP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 128 KB x 1 |
| L2 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.89 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
462
49.5 IPS |
|
|
Image Classification (F16)
|
100% |
465
49.8 IPS |
|
|
Image Classification (I8)
|
81% |
255
27.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
757
4.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
740
4.57 IPS |
|
|
Image Segmentation (I8)
|
89% |
954
5.89 IPS |
|
|
Pose Estimation (F32)
|
100% |
226
0.92 IPS |
|
|
Pose Estimation (F16)
|
100% |
227
0.92 IPS |
|
|
Pose Estimation (I8)
|
80% |
257
1.04 IPS |
|
|
Object Detection (F32)
|
100% |
574
20.2 IPS |
|
|
Object Detection (F16)
|
100% |
651
22.9 IPS |
|
|
Object Detection (I8)
|
52% |
508
17.8 IPS |
|
|
Face Detection (F32)
|
100% |
745
8.56 IPS |
|
|
Face Detection (F16)
|
100% |
777
8.92 IPS |
|
|
Face Detection (I8)
|
75% |
599
6.89 IPS |
|
|
Text Classification (F32)
|
100% |
728
287.9 IPS |
|
|
Text Classification (F16)
|
100% |
749
296.2 IPS |
|
|
Machine Translation (F32)
|
100% |
995
153.3 IPS |
|
|
Machine Translation (F16)
|
100% |
999
154.0 IPS |
