iPad13,8
Geekbench ML Score
1018
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 23 2021 03:21 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1 |
| Model | iPad13,8 |
| Model ID | iPad13,8 |
| Motherboard | J522AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.20 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 | 7.31 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
925
99.1 IPS |
|
|
Image Classification (F16)
|
100% |
933
100.0 IPS |
|
|
Image Classification (I8)
|
81% |
417
44.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1239
7.65 IPS |
|
|
Image Segmentation (F16)
|
100% |
1240
7.66 IPS |
|
|
Image Segmentation (I8)
|
89% |
1499
9.26 IPS |
|
|
Pose Estimation (F32)
|
100% |
665
2.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
643
2.60 IPS |
|
|
Pose Estimation (I8)
|
80% |
799
3.23 IPS |
|
|
Object Detection (F32)
|
100% |
1422
49.9 IPS |
|
|
Object Detection (F16)
|
100% |
1413
49.6 IPS |
|
|
Object Detection (I8)
|
52% |
639
22.4 IPS |
|
|
Face Detection (F32)
|
100% |
1633
18.8 IPS |
|
|
Face Detection (F16)
|
100% |
1629
18.7 IPS |
|
|
Face Detection (I8)
|
75% |
816
9.37 IPS |
|
|
Text Classification (F32)
|
100% |
707
279.7 IPS |
|
|
Text Classification (F16)
|
100% |
725
286.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1860
286.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1866
287.6 IPS |
