iPad14,6
Geekbench ML Score
1201
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 20 2022 01:12 PM |
| Views | 23 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 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 | 15.33 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1080
115.7 IPS |
|
|
Image Classification (F16)
|
100% |
1079
115.6 IPS |
|
|
Image Classification (I8)
|
81% |
566
60.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1427
8.81 IPS |
|
|
Image Segmentation (F16)
|
100% |
1450
8.96 IPS |
|
|
Image Segmentation (I8)
|
89% |
1723
10.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
746
3.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
737
2.98 IPS |
|
|
Pose Estimation (I8)
|
80% |
874
3.54 IPS |
|
|
Object Detection (F32)
|
100% |
1709
60.0 IPS |
|
|
Object Detection (F16)
|
100% |
1716
60.2 IPS |
|
|
Object Detection (I8)
|
52% |
918
32.2 IPS |
|
|
Face Detection (F32)
|
100% |
2021
23.2 IPS |
|
|
Face Detection (F16)
|
100% |
2027
23.3 IPS |
|
|
Face Detection (I8)
|
75% |
1030
11.8 IPS |
|
|
Text Classification (F32)
|
100% |
834
329.7 IPS |
|
|
Text Classification (F16)
|
100% |
817
323.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1935
298.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1934
298.0 IPS |
