iPad13,16
Geekbench ML Score
1045
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 03 2023 05:07 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.2 |
| Model | iPad13,16 |
| Model ID | iPad13,16 |
| Motherboard | J407AP |
| 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1012
108.4 IPS |
|
|
Image Classification (F16)
|
100% |
1019
109.2 IPS |
|
|
Image Classification (I8)
|
81% |
400
42.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1365
8.43 IPS |
|
|
Image Segmentation (F16)
|
100% |
1362
8.41 IPS |
|
|
Image Segmentation (I8)
|
89% |
1535
9.48 IPS |
|
|
Pose Estimation (F32)
|
100% |
682
2.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
674
2.73 IPS |
|
|
Pose Estimation (I8)
|
80% |
801
3.24 IPS |
|
|
Object Detection (F32)
|
100% |
1516
53.2 IPS |
|
|
Object Detection (F16)
|
100% |
1529
53.7 IPS |
|
|
Object Detection (I8)
|
52% |
585
20.5 IPS |
|
|
Face Detection (F32)
|
100% |
1760
20.2 IPS |
|
|
Face Detection (F16)
|
100% |
1754
20.2 IPS |
|
|
Face Detection (I8)
|
75% |
798
9.17 IPS |
|
|
Text Classification (F32)
|
100% |
676
267.2 IPS |
|
|
Text Classification (F16)
|
100% |
678
268.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1857
286.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1882
290.1 IPS |
