iPad (8th generation)
Geekbench ML Score
572
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 12 2021 08:28 PM |
| 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% |
466
50.0 IPS |
|
|
Image Classification (F16)
|
100% |
472
50.6 IPS |
|
|
Image Classification (I8)
|
81% |
280
30.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
769
4.75 IPS |
|
|
Image Segmentation (F16)
|
100% |
749
4.62 IPS |
|
|
Image Segmentation (I8)
|
89% |
970
5.99 IPS |
|
|
Pose Estimation (F32)
|
100% |
239
0.97 IPS |
|
|
Pose Estimation (F16)
|
100% |
237
0.96 IPS |
|
|
Pose Estimation (I8)
|
80% |
203
0.82 IPS |
|
|
Object Detection (F32)
|
100% |
667
23.4 IPS |
|
|
Object Detection (F16)
|
100% |
676
23.7 IPS |
|
|
Object Detection (I8)
|
52% |
551
19.3 IPS |
|
|
Face Detection (F32)
|
100% |
831
9.55 IPS |
|
|
Face Detection (F16)
|
100% |
803
9.22 IPS |
|
|
Face Detection (I8)
|
75% |
619
7.11 IPS |
|
|
Text Classification (F32)
|
100% |
789
312.0 IPS |
|
|
Text Classification (F16)
|
100% |
787
311.3 IPS |
|
|
Machine Translation (F32)
|
100% |
995
153.3 IPS |
|
|
Machine Translation (F16)
|
100% |
996
153.4 IPS |
