iPad13,4
Geekbench ML Score
1008
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 12 2021 07:33 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.5 |
| Model | iPad13,4 |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| 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 | 7.24 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
947
101.4 IPS |
|
|
Image Classification (F16)
|
100% |
942
101.0 IPS |
|
|
Image Classification (I8)
|
81% |
400
42.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1243
7.68 IPS |
|
|
Image Segmentation (F16)
|
100% |
1244
7.68 IPS |
|
|
Image Segmentation (I8)
|
89% |
1510
9.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
669
2.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
662
2.68 IPS |
|
|
Pose Estimation (I8)
|
80% |
792
3.20 IPS |
|
|
Object Detection (F32)
|
100% |
1447
50.8 IPS |
|
|
Object Detection (F16)
|
100% |
1439
50.5 IPS |
|
|
Object Detection (I8)
|
52% |
592
20.8 IPS |
|
|
Face Detection (F32)
|
100% |
1636
18.8 IPS |
|
|
Face Detection (F16)
|
100% |
1632
18.7 IPS |
|
|
Face Detection (I8)
|
75% |
794
9.12 IPS |
|
|
Text Classification (F32)
|
100% |
681
269.4 IPS |
|
|
Text Classification (F16)
|
100% |
656
259.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1849
284.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1851
285.3 IPS |
