iPad13,4
Geekbench ML Score
1008
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 22 2021 09:16 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| Model | iPad13,4 |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| 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 | 7.33 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
951
101.9 IPS |
|
|
Image Classification (F16)
|
100% |
935
100.2 IPS |
|
|
Image Classification (I8)
|
81% |
390
41.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1259
7.78 IPS |
|
|
Image Segmentation (F16)
|
100% |
1251
7.73 IPS |
|
|
Image Segmentation (I8)
|
89% |
1497
9.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
668
2.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
664
2.69 IPS |
|
|
Pose Estimation (I8)
|
80% |
795
3.22 IPS |
|
|
Object Detection (F32)
|
100% |
1446
50.8 IPS |
|
|
Object Detection (F16)
|
100% |
1442
50.6 IPS |
|
|
Object Detection (I8)
|
52% |
606
21.3 IPS |
|
|
Face Detection (F32)
|
100% |
1635
18.8 IPS |
|
|
Face Detection (F16)
|
100% |
1640
18.8 IPS |
|
|
Face Detection (I8)
|
75% |
819
9.41 IPS |
|
|
Text Classification (F32)
|
100% |
636
251.6 IPS |
|
|
Text Classification (F16)
|
100% |
680
269.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1836
283.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1851
285.3 IPS |
