iPad Pro 11-inch (2nd generation)
Geekbench ML Score
1959
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 15 2021 03:45 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| Model | iPad Pro 11-inch (2nd generation) |
| Model ID | iPad8,9 |
| Motherboard | J417AP |
| CPU Information | |
|---|---|
| Name | Apple A12Z Bionic |
| Topology | 1 Processor, 8 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 | 5.57 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2964
317.5 IPS |
|
|
Image Classification (F16)
|
100% |
5178
554.8 IPS |
|
|
Image Classification (I8)
|
81% |
405
43.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
5680
35.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
9660
59.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
751
4.64 IPS |
|
|
Pose Estimation (F32)
|
100% |
1964
7.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
6259
25.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
143
0.58 IPS |
|
|
Object Detection (F32)
|
100% |
2917
102.4 IPS |
|
|
Object Detection (F16)
|
99% |
2961
103.9 IPS |
|
|
Object Detection (I8)
|
52% |
575
20.2 IPS |
|
|
Face Detection (F32)
|
100% |
5297
60.9 IPS |
|
|
Face Detection (F16)
|
97% |
10302
118.4 IPS |
|
|
Face Detection (I8)
|
75% |
556
6.38 IPS |
|
|
Text Classification (F32)
|
100% |
2273
898.8 IPS |
|
|
Text Classification (F16)
|
98% |
2242
886.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1013
156.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1011
155.8 IPS |
