iPad13,9
Geekbench ML Score
2847
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | May 26 2021 08:48 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| Model | iPad13,9 |
| Model ID | iPad13,9 |
| Motherboard | J522xAP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 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 | 15.22 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4117
441.1 IPS |
|
|
Image Classification (F16)
|
100% |
6209
665.3 IPS |
|
|
Image Classification (I8)
|
81% |
687
73.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
8103
50.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
11311
69.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
1247
7.70 IPS |
|
|
Pose Estimation (F32)
|
100% |
2867
11.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
6827
27.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
236
0.96 IPS |
|
|
Object Detection (F32)
|
100% |
3770
132.3 IPS |
|
|
Object Detection (F16)
|
100% |
3421
120.1 IPS |
|
|
Object Detection (I8)
|
52% |
973
34.1 IPS |
|
|
Face Detection (F32)
|
100% |
7062
81.1 IPS |
|
|
Face Detection (F16)
|
97% |
12556
144.3 IPS |
|
|
Face Detection (I8)
|
75% |
948
10.9 IPS |
|
|
Text Classification (F32)
|
100% |
3430
1.36 KIPS |
|
|
Text Classification (F16)
|
100% |
3790
1.50 KIPS |
|
|
Machine Translation (F32)
|
100% |
1844
284.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1845
284.4 IPS |
