iPad (8th generation)
Geekbench ML Score
1433
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | July 16 2022 03:09 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0 |
| 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 | Core ML |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4175
447.4 IPS |
|
|
Image Classification (F16)
|
100% |
4142
443.8 IPS |
|
|
Image Classification (I8)
|
81% |
401
43.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1360
8.40 IPS |
|
|
Image Segmentation (F16)
|
100% |
1362
8.41 IPS |
|
|
Image Segmentation (I8)
|
89% |
731
4.52 IPS |
|
|
Pose Estimation (F32)
|
100% |
7085
28.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
7142
28.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
140
0.57 IPS |
|
|
Object Detection (F32)
|
94% |
4244
148.9 IPS |
|
|
Object Detection (F16)
|
94% |
4214
147.9 IPS |
|
|
Object Detection (I8)
|
52% |
567
19.9 IPS |
|
|
Face Detection (F32)
|
67% |
4018
46.2 IPS |
|
|
Face Detection (F16)
|
67% |
4022
46.2 IPS |
|
|
Face Detection (I8)
|
75% |
549
6.30 IPS |
|
|
Text Classification (F32)
|
100% |
398
157.5 IPS |
|
|
Text Classification (F16)
|
100% |
404
159.6 IPS |
|
|
Machine Translation (F32)
|
100% |
988
152.2 IPS |
|
|
Machine Translation (F16)
|
100% |
989
152.4 IPS |
