iPad (6th generation)
Geekbench ML Score
427
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 13 2023 07:08 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6 |
| Model | iPad (6th generation) |
| Model ID | iPad7,5 |
| Motherboard | J71bAP |
| CPU Information | |
|---|---|
| Name | Apple A10 Fusion |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 2.32 GHz |
| L1 Instruction Cache | 64.0 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 3.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 1.93 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
279
29.9 IPS |
|
|
Image Classification (F16)
|
100% |
274
29.3 IPS |
|
|
Image Classification (I8)
|
81% |
531
56.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
519
3.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
514
3.17 IPS |
|
|
Image Segmentation (I8)
|
89% |
949
5.86 IPS |
|
|
Pose Estimation (F32)
|
100% |
147
0.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
143
0.58 IPS |
|
|
Pose Estimation (I8)
|
80% |
201
0.81 IPS |
|
|
Object Detection (F32)
|
100% |
438
15.4 IPS |
|
|
Object Detection (F16)
|
100% |
443
15.6 IPS |
|
|
Object Detection (I8)
|
52% |
692
24.3 IPS |
|
|
Face Detection (F32)
|
100% |
572
6.57 IPS |
|
|
Face Detection (F16)
|
100% |
546
6.27 IPS |
|
|
Face Detection (I8)
|
75% |
613
7.05 IPS |
|
|
Text Classification (F32)
|
100% |
513
203.0 IPS |
|
|
Text Classification (F16)
|
100% |
506
200.1 IPS |
|
|
Machine Translation (F32)
|
100% |
561
86.5 IPS |
|
|
Machine Translation (F16)
|
100% |
590
90.9 IPS |
