iPad12,2
Geekbench ML Score
747
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 15 2021 06:09 PM |
| Views | 88 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
551
59.0 IPS |
|
|
Image Classification (F16)
|
100% |
543
58.2 IPS |
|
|
Image Classification (I8)
|
81% |
326
34.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
879
5.43 IPS |
|
|
Image Segmentation (F16)
|
100% |
866
5.35 IPS |
|
|
Image Segmentation (I8)
|
89% |
1108
6.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
283
1.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
280
1.13 IPS |
|
|
Pose Estimation (I8)
|
80% |
340
1.38 IPS |
|
|
Object Detection (F32)
|
100% |
805
28.2 IPS |
|
|
Object Detection (F16)
|
100% |
809
28.4 IPS |
|
|
Object Detection (I8)
|
52% |
620
21.8 IPS |
|
|
Face Detection (F32)
|
100% |
1019
11.7 IPS |
|
|
Face Detection (F16)
|
100% |
1008
11.6 IPS |
|
|
Face Detection (I8)
|
75% |
745
8.56 IPS |
|
|
Text Classification (F32)
|
100% |
2008
794.2 IPS |
|
|
Text Classification (F16)
|
100% |
2001
791.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1206
185.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1200
184.9 IPS |
