iPad (8th generation)
Geekbench ML Score
573
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 22 2021 09:12 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.7.1 |
| Model | iPad (8th generation) |
| Model ID | iPad11,6 |
| Motherboard | J171aAP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 128 KB x 1 |
| L2 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.88 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
484
51.9 IPS |
|
|
Image Classification (F16)
|
100% |
470
50.3 IPS |
|
|
Image Classification (I8)
|
81% |
279
29.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
760
4.69 IPS |
|
|
Image Segmentation (F16)
|
100% |
741
4.58 IPS |
|
|
Image Segmentation (I8)
|
89% |
956
5.90 IPS |
|
|
Pose Estimation (F32)
|
100% |
232
0.94 IPS |
|
|
Pose Estimation (F16)
|
100% |
227
0.92 IPS |
|
|
Pose Estimation (I8)
|
80% |
231
0.93 IPS |
|
|
Object Detection (F32)
|
100% |
681
23.9 IPS |
|
|
Object Detection (F16)
|
100% |
681
23.9 IPS |
|
|
Object Detection (I8)
|
52% |
545
19.1 IPS |
|
|
Face Detection (F32)
|
100% |
808
9.28 IPS |
|
|
Face Detection (F16)
|
100% |
809
9.29 IPS |
|
|
Face Detection (I8)
|
75% |
610
7.01 IPS |
|
|
Text Classification (F32)
|
100% |
779
308.1 IPS |
|
|
Text Classification (F16)
|
100% |
792
313.4 IPS |
|
|
Machine Translation (F32)
|
100% |
997
153.6 IPS |
|
|
Machine Translation (F16)
|
100% |
996
153.6 IPS |
