iPad (8th generation)
Geekbench ML Score
568
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 11 2021 03:15 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| 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% |
464
49.7 IPS |
|
|
Image Classification (F16)
|
100% |
467
50.1 IPS |
|
|
Image Classification (I8)
|
81% |
281
30.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
764
4.72 IPS |
|
|
Image Segmentation (F16)
|
100% |
748
4.62 IPS |
|
|
Image Segmentation (I8)
|
89% |
961
5.93 IPS |
|
|
Pose Estimation (F32)
|
100% |
234
0.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
233
0.94 IPS |
|
|
Pose Estimation (I8)
|
80% |
188
0.76 IPS |
|
|
Object Detection (F32)
|
100% |
676
23.7 IPS |
|
|
Object Detection (F16)
|
100% |
682
23.9 IPS |
|
|
Object Detection (I8)
|
52% |
538
18.9 IPS |
|
|
Face Detection (F32)
|
100% |
795
9.13 IPS |
|
|
Face Detection (F16)
|
100% |
837
9.62 IPS |
|
|
Face Detection (I8)
|
75% |
623
7.15 IPS |
|
|
Text Classification (F32)
|
100% |
783
309.6 IPS |
|
|
Text Classification (F16)
|
100% |
790
312.5 IPS |
|
|
Machine Translation (F32)
|
100% |
993
153.0 IPS |
|
|
Machine Translation (F16)
|
100% |
994
153.3 IPS |
