iPad (8th generation)
Geekbench ML Score
1292
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 22 2021 09:15 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.7.1 |
| 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 | 128 KB x 1 |
| L1 Data Cache | 128 KB x 1 |
| L2 Cache | 8.00 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% |
3219
344.9 IPS |
|
|
Image Classification (F16)
|
100% |
3097
331.8 IPS |
|
|
Image Classification (I8)
|
81% |
400
42.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1333
8.23 IPS |
|
|
Image Segmentation (F16)
|
100% |
1333
8.23 IPS |
|
|
Image Segmentation (I8)
|
89% |
745
4.60 IPS |
|
|
Pose Estimation (F32)
|
100% |
7341
29.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
7327
29.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
142
0.57 IPS |
|
|
Object Detection (F32)
|
94% |
3820
134.0 IPS |
|
|
Object Detection (F16)
|
94% |
3773
132.4 IPS |
|
|
Object Detection (I8)
|
52% |
564
19.8 IPS |
|
|
Face Detection (F32)
|
67% |
3482
40.0 IPS |
|
|
Face Detection (F16)
|
67% |
3452
39.7 IPS |
|
|
Face Detection (I8)
|
75% |
548
6.30 IPS |
|
|
Text Classification (F32)
|
100% |
260
102.8 IPS |
|
|
Text Classification (F16)
|
100% |
238
94.0 IPS |
|
|
Machine Translation (F32)
|
100% |
995
153.4 IPS |
|
|
Machine Translation (F16)
|
100% |
982
151.3 IPS |
