iPad (8th generation)
Geekbench ML Score
398
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | July 16 2022 05:37 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.5 |
| 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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
466
49.9 IPS |
|
|
Image Classification (F16)
|
100% |
449
48.1 IPS |
|
|
Image Classification (I8)
|
81% |
283
30.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
725
4.48 IPS |
|
|
Image Segmentation (F16)
|
100% |
535
3.30 IPS |
|
|
Image Segmentation (I8)
|
89% |
635
3.92 IPS |
|
|
Pose Estimation (F32)
|
100% |
173
0.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
139
0.56 IPS |
|
|
Pose Estimation (I8)
|
80% |
176
0.71 IPS |
|
|
Object Detection (F32)
|
100% |
592
20.8 IPS |
|
|
Object Detection (F16)
|
100% |
362
12.7 IPS |
|
|
Object Detection (I8)
|
52% |
426
15.0 IPS |
|
|
Face Detection (F32)
|
100% |
484
5.56 IPS |
|
|
Face Detection (F16)
|
100% |
525
6.03 IPS |
|
|
Face Detection (I8)
|
75% |
297
3.42 IPS |
|
|
Text Classification (F32)
|
100% |
561
221.9 IPS |
|
|
Text Classification (F16)
|
100% |
223
88.3 IPS |
|
|
Machine Translation (F32)
|
100% |
665
102.5 IPS |
|
|
Machine Translation (F16)
|
100% |
728
112.2 IPS |
