iPad (8th generation)
Geekbench ML Score
447
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 14 2023 08:49 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6 |
| 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% |
287
30.7 IPS |
|
|
Image Classification (F16)
|
100% |
283
30.3 IPS |
|
|
Image Classification (I8)
|
81% |
157
16.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
502
3.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
411
2.54 IPS |
|
|
Image Segmentation (I8)
|
89% |
539
3.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
150
0.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
140
0.56 IPS |
|
|
Pose Estimation (I8)
|
80% |
219
0.89 IPS |
|
|
Object Detection (F32)
|
100% |
648
22.8 IPS |
|
|
Object Detection (F16)
|
100% |
597
20.9 IPS |
|
|
Object Detection (I8)
|
52% |
527
18.5 IPS |
|
|
Face Detection (F32)
|
100% |
738
8.48 IPS |
|
|
Face Detection (F16)
|
100% |
759
8.72 IPS |
|
|
Face Detection (I8)
|
75% |
570
6.54 IPS |
|
|
Text Classification (F32)
|
100% |
749
296.2 IPS |
|
|
Text Classification (F16)
|
100% |
749
296.1 IPS |
|
|
Machine Translation (F32)
|
100% |
979
150.8 IPS |
|
|
Machine Translation (F16)
|
100% |
978
150.8 IPS |
