iPad (8th generation)
Geekbench ML Score
1124
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 06 2022 11:30 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.7 |
| 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 | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 2.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.88 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
692
74.1 IPS |
|
|
Image Classification (F16)
|
100% |
1060
113.6 IPS |
|
|
Image Classification (I8)
|
81% |
400
42.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
3066
18.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
4515
27.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
728
4.49 IPS |
|
|
Pose Estimation (F32)
|
100% |
1205
4.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
3451
14.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
138
0.56 IPS |
|
|
Object Detection (F32)
|
100% |
1425
50.0 IPS |
|
|
Object Detection (F16)
|
99% |
1546
54.3 IPS |
|
|
Object Detection (I8)
|
52% |
564
19.8 IPS |
|
|
Face Detection (F32)
|
100% |
3194
36.7 IPS |
|
|
Face Detection (F16)
|
97% |
5077
58.3 IPS |
|
|
Face Detection (I8)
|
75% |
535
6.15 IPS |
|
|
Text Classification (F32)
|
100% |
656
259.4 IPS |
|
|
Text Classification (F16)
|
98% |
793
313.7 IPS |
|
|
Machine Translation (F32)
|
100% |
987
152.2 IPS |
|
|
Machine Translation (F16)
|
100% |
987
152.1 IPS |
