iPad14,2
Geekbench ML Score
2527
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 15 2021 08:59 PM |
| Views | 27 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| Model | iPad14,2 |
| Model ID | iPad14,2 |
| Motherboard | J311AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.94 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.78 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4981
533.7 IPS |
|
|
Image Classification (F16)
|
100% |
5029
538.8 IPS |
|
|
Image Classification (I8)
|
81% |
633
67.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1904
11.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1902
11.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
1150
7.11 IPS |
|
|
Pose Estimation (F32)
|
100% |
19300
78.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
20307
82.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
220
0.89 IPS |
|
|
Object Detection (F32)
|
100% |
6437
225.9 IPS |
|
|
Object Detection (F16)
|
100% |
6578
230.8 IPS |
|
|
Object Detection (I8)
|
52% |
900
31.6 IPS |
|
|
Face Detection (F32)
|
100% |
7679
88.2 IPS |
|
|
Face Detection (F16)
|
100% |
7617
87.5 IPS |
|
|
Face Detection (I8)
|
75% |
865
9.94 IPS |
|
|
Text Classification (F32)
|
100% |
1083
428.5 IPS |
|
|
Text Classification (F16)
|
100% |
1094
432.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1853
285.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1855
285.9 IPS |
