iPad Pro 11-inch (2nd generation)
Geekbench ML Score
1340
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 13 2021 02:21 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| Model | iPad Pro 11-inch (2nd generation) |
| Model ID | iPad8,10 |
| Motherboard | J418AP |
| 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3441
368.7 IPS |
|
|
Image Classification (F16)
|
100% |
2953
316.4 IPS |
|
|
Image Classification (I8)
|
81% |
402
43.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1428
8.82 IPS |
|
|
Image Segmentation (F16)
|
100% |
1427
8.81 IPS |
|
|
Image Segmentation (I8)
|
89% |
749
4.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
8007
32.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
8068
32.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
142
0.57 IPS |
|
|
Object Detection (F32)
|
94% |
4097
143.8 IPS |
|
|
Object Detection (F16)
|
94% |
4165
146.2 IPS |
|
|
Object Detection (I8)
|
52% |
567
19.9 IPS |
|
|
Face Detection (F32)
|
67% |
4001
46.0 IPS |
|
|
Face Detection (F16)
|
67% |
3764
43.2 IPS |
|
|
Face Detection (I8)
|
75% |
551
6.33 IPS |
|
|
Text Classification (F32)
|
100% |
230
91.1 IPS |
|
|
Text Classification (F16)
|
100% |
255
100.7 IPS |
|
|
Machine Translation (F32)
|
100% |
987
152.2 IPS |
|
|
Machine Translation (F16)
|
100% |
988
152.2 IPS |
