iPad13,17
Geekbench ML Score
705
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | June 18 2022 01:01 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.5 |
| Model | iPad13,17 |
| Model ID | iPad13,17 |
| Motherboard | J408AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 1.95 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 | 7.45 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
390
41.8 IPS |
|
|
Image Classification (F16)
|
100% |
575
61.7 IPS |
|
|
Image Classification (I8)
|
81% |
384
41.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
642
3.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
873
5.39 IPS |
|
|
Image Segmentation (I8)
|
89% |
1413
8.73 IPS |
|
|
Pose Estimation (F32)
|
100% |
425
1.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
360
1.46 IPS |
|
|
Pose Estimation (I8)
|
80% |
578
2.34 IPS |
|
|
Object Detection (F32)
|
100% |
1052
36.9 IPS |
|
|
Object Detection (F16)
|
100% |
1048
36.8 IPS |
|
|
Object Detection (I8)
|
52% |
607
21.3 IPS |
|
|
Face Detection (F32)
|
100% |
668
7.67 IPS |
|
|
Face Detection (F16)
|
100% |
1073
12.3 IPS |
|
|
Face Detection (I8)
|
75% |
926
10.6 IPS |
|
|
Text Classification (F32)
|
100% |
625
247.2 IPS |
|
|
Text Classification (F16)
|
100% |
603
238.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1134
174.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1141
175.8 IPS |
