iPad (8th generation)
Geekbench ML Score
1423
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 01 2023 05:15 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.2 |
| 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4124
441.9 IPS |
|
|
Image Classification (F16)
|
100% |
4135
443.1 IPS |
|
|
Image Classification (I8)
|
81% |
400
42.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1390
8.58 IPS |
|
|
Image Segmentation (F16)
|
100% |
1373
8.48 IPS |
|
|
Image Segmentation (I8)
|
89% |
745
4.60 IPS |
|
|
Pose Estimation (F32)
|
100% |
7028
28.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
7009
28.4 IPS |
|
|
Pose Estimation (I8)
|
80% |
141
0.57 IPS |
|
|
Object Detection (F32)
|
94% |
4076
143.0 IPS |
|
|
Object Detection (F16)
|
94% |
4036
141.6 IPS |
|
|
Object Detection (I8)
|
52% |
561
19.7 IPS |
|
|
Face Detection (F32)
|
67% |
4117
47.3 IPS |
|
|
Face Detection (F16)
|
67% |
4110
47.2 IPS |
|
|
Face Detection (I8)
|
75% |
549
6.31 IPS |
|
|
Text Classification (F32)
|
100% |
380
150.4 IPS |
|
|
Text Classification (F16)
|
100% |
381
150.6 IPS |
|
|
Machine Translation (F32)
|
100% |
991
152.8 IPS |
|
|
Machine Translation (F16)
|
100% |
988
152.2 IPS |
