iPad13,17
Geekbench ML Score
1061
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 16 2023 04:07 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.1 |
| 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% |
1043
111.8 IPS |
|
|
Image Classification (F16)
|
100% |
1020
109.3 IPS |
|
|
Image Classification (I8)
|
81% |
401
43.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1401
8.65 IPS |
|
|
Image Segmentation (F16)
|
100% |
1377
8.50 IPS |
|
|
Image Segmentation (I8)
|
89% |
1510
9.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
687
2.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
686
2.77 IPS |
|
|
Pose Estimation (I8)
|
80% |
797
3.22 IPS |
|
|
Object Detection (F32)
|
100% |
1541
54.1 IPS |
|
|
Object Detection (F16)
|
100% |
1557
54.6 IPS |
|
|
Object Detection (I8)
|
52% |
623
21.9 IPS |
|
|
Face Detection (F32)
|
100% |
1803
20.7 IPS |
|
|
Face Detection (F16)
|
100% |
1776
20.4 IPS |
|
|
Face Detection (I8)
|
75% |
815
9.37 IPS |
|
|
Text Classification (F32)
|
100% |
711
281.3 IPS |
|
|
Text Classification (F16)
|
100% |
655
259.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1904
293.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1925
296.6 IPS |
