iPad (8th generation)
Geekbench ML Score
530
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 06 2021 05:32 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
439
47.1 IPS |
|
|
Image Classification (F16)
|
100% |
449
48.1 IPS |
|
|
Image Classification (I8)
|
81% |
260
27.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
718
4.43 IPS |
|
|
Image Segmentation (F16)
|
100% |
712
4.40 IPS |
|
|
Image Segmentation (I8)
|
89% |
734
4.53 IPS |
|
|
Pose Estimation (F32)
|
100% |
164
0.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
189
0.76 IPS |
|
|
Pose Estimation (I8)
|
80% |
265
1.07 IPS |
|
|
Object Detection (F32)
|
100% |
663
23.3 IPS |
|
|
Object Detection (F16)
|
100% |
666
23.4 IPS |
|
|
Object Detection (I8)
|
52% |
517
18.1 IPS |
|
|
Face Detection (F32)
|
100% |
776
8.92 IPS |
|
|
Face Detection (F16)
|
100% |
765
8.79 IPS |
|
|
Face Detection (I8)
|
75% |
558
6.41 IPS |
|
|
Text Classification (F32)
|
100% |
669
264.5 IPS |
|
|
Text Classification (F16)
|
100% |
754
298.4 IPS |
|
|
Machine Translation (F32)
|
100% |
990
152.6 IPS |
|
|
Machine Translation (F16)
|
100% |
974
150.1 IPS |
