iPad Pro (11-inch)
Geekbench ML Score
1905
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 25 2021 05:09 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1 |
| Model | iPad Pro (11-inch) |
| Model ID | iPad8,3 |
| Motherboard | J318AP |
| CPU Information | |
|---|---|
| Name | Apple A12X Bionic |
| Topology | 1 Processor, 8 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 | 3.69 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2610
279.7 IPS |
|
|
Image Classification (F16)
|
100% |
4826
517.1 IPS |
|
|
Image Classification (I8)
|
81% |
406
43.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
5450
33.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
9157
56.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
753
4.65 IPS |
|
|
Pose Estimation (F32)
|
100% |
1867
7.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
5804
23.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
143
0.58 IPS |
|
|
Object Detection (F32)
|
100% |
2812
98.7 IPS |
|
|
Object Detection (F16)
|
99% |
3265
114.6 IPS |
|
|
Object Detection (I8)
|
52% |
574
20.1 IPS |
|
|
Face Detection (F32)
|
100% |
5128
58.9 IPS |
|
|
Face Detection (F16)
|
97% |
9790
112.5 IPS |
|
|
Face Detection (I8)
|
75% |
556
6.39 IPS |
|
|
Text Classification (F32)
|
100% |
2208
873.2 IPS |
|
|
Text Classification (F16)
|
98% |
2155
852.4 IPS |
|
|
Machine Translation (F32)
|
100% |
998
153.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1008
155.4 IPS |
