iPad13,16
Geekbench ML Score
321
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 24 2023 07:33 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.1 |
| Model | iPad13,16 |
| Model ID | iPad13,16 |
| Motherboard | J407AP |
| 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% |
471
50.4 IPS |
|
|
Image Classification (F16)
|
100% |
434
46.5 IPS |
|
|
Image Classification (I8)
|
81% |
170
18.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
201
1.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
236
1.46 IPS |
|
|
Image Segmentation (I8)
|
89% |
456
2.81 IPS |
|
|
Pose Estimation (F32)
|
100% |
145
0.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
147
0.59 IPS |
|
|
Pose Estimation (I8)
|
80% |
126
0.51 IPS |
|
|
Object Detection (F32)
|
100% |
265
9.31 IPS |
|
|
Object Detection (F16)
|
100% |
280
9.81 IPS |
|
|
Object Detection (I8)
|
52% |
405
14.2 IPS |
|
|
Face Detection (F32)
|
100% |
572
6.57 IPS |
|
|
Face Detection (F16)
|
100% |
627
7.20 IPS |
|
|
Face Detection (I8)
|
75% |
399
4.59 IPS |
|
|
Text Classification (F32)
|
100% |
558
220.7 IPS |
|
|
Text Classification (F16)
|
100% |
394
155.7 IPS |
|
|
Machine Translation (F32)
|
100% |
521
80.3 IPS |
|
|
Machine Translation (F16)
|
100% |
445
68.6 IPS |
