iPad12,2
Geekbench ML Score
1825
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 19 2021 03:05 PM |
| Views | 26 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| Model | iPad12,2 |
| Model ID | iPad12,2 |
| Motherboard | J182AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| L1 Instruction Cache | 96.0 KB x 1 |
| L1 Data Cache | 48.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.87 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4560
488.6 IPS |
|
|
Image Classification (F16)
|
100% |
4568
489.5 IPS |
|
|
Image Classification (I8)
|
81% |
448
48.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1611
9.95 IPS |
|
|
Image Segmentation (F16)
|
100% |
1597
9.86 IPS |
|
|
Image Segmentation (I8)
|
89% |
820
5.06 IPS |
|
|
Pose Estimation (F32)
|
100% |
8683
35.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
8670
35.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
151
0.61 IPS |
|
|
Object Detection (F32)
|
94% |
5581
195.9 IPS |
|
|
Object Detection (F16)
|
94% |
5604
196.7 IPS |
|
|
Object Detection (I8)
|
52% |
634
22.2 IPS |
|
|
Face Detection (F32)
|
67% |
5632
64.7 IPS |
|
|
Face Detection (F16)
|
67% |
5723
65.7 IPS |
|
|
Face Detection (I8)
|
75% |
628
7.21 IPS |
|
|
Text Classification (F32)
|
100% |
842
333.2 IPS |
|
|
Text Classification (F16)
|
100% |
846
334.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1204
185.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1202
185.3 IPS |
