iPad13,19
Geekbench ML Score
868
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 20 2022 01:13 PM |
| Views | 39 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1 |
| Model | iPad13,19 |
| Model ID | iPad13,19 |
| Motherboard | J272AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 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 | 3.74 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
648
69.5 IPS |
|
|
Image Classification (F16)
|
100% |
596
63.9 IPS |
|
|
Image Classification (I8)
|
81% |
411
44.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
972
6.00 IPS |
|
|
Image Segmentation (F16)
|
100% |
954
5.89 IPS |
|
|
Image Segmentation (I8)
|
89% |
1399
8.64 IPS |
|
|
Pose Estimation (F32)
|
100% |
370
1.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
362
1.47 IPS |
|
|
Pose Estimation (I8)
|
80% |
443
1.79 IPS |
|
|
Object Detection (F32)
|
100% |
912
32.0 IPS |
|
|
Object Detection (F16)
|
100% |
913
32.0 IPS |
|
|
Object Detection (I8)
|
52% |
708
24.9 IPS |
|
|
Face Detection (F32)
|
100% |
1094
12.6 IPS |
|
|
Face Detection (F16)
|
100% |
1074
12.3 IPS |
|
|
Face Detection (I8)
|
75% |
816
9.38 IPS |
|
|
Text Classification (F32)
|
100% |
1841
728.2 IPS |
|
|
Text Classification (F16)
|
100% |
2021
799.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1630
251.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1625
250.4 IPS |
