iPad13,17
Geekbench ML Score
923
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | July 14 2022 04:37 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0 |
| Model | iPad13,17 |
| Model ID | iPad13,17 |
| Motherboard | J408AP |
| 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
912
97.8 IPS |
|
|
Image Classification (F16)
|
100% |
873
93.5 IPS |
|
|
Image Classification (I8)
|
81% |
287
30.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1362
8.41 IPS |
|
|
Image Segmentation (F16)
|
100% |
1370
8.47 IPS |
|
|
Image Segmentation (I8)
|
89% |
1485
9.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
430
1.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
427
1.73 IPS |
|
|
Pose Estimation (I8)
|
80% |
719
2.91 IPS |
|
|
Object Detection (F32)
|
100% |
1496
52.5 IPS |
|
|
Object Detection (F16)
|
100% |
1472
51.7 IPS |
|
|
Object Detection (I8)
|
52% |
574
20.1 IPS |
|
|
Face Detection (F32)
|
100% |
1590
18.3 IPS |
|
|
Face Detection (F16)
|
100% |
1597
18.3 IPS |
|
|
Face Detection (I8)
|
75% |
747
8.58 IPS |
|
|
Text Classification (F32)
|
100% |
539
213.0 IPS |
|
|
Text Classification (F16)
|
100% |
591
233.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1853
285.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1851
285.2 IPS |
