iPad Pro 12.9-inch (4th generation)
Geekbench ML Score
1342
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | May 26 2021 07:55 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| Model | iPad Pro 12.9-inch (4th generation) |
| Model ID | iPad8,12 |
| Motherboard | J421AP |
| 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 | 5.54 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3123
334.6 IPS |
|
|
Image Classification (F16)
|
100% |
3158
338.3 IPS |
|
|
Image Classification (I8)
|
81% |
404
43.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1452
8.97 IPS |
|
|
Image Segmentation (F16)
|
100% |
1458
9.01 IPS |
|
|
Image Segmentation (I8)
|
89% |
749
4.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
8132
32.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
8130
32.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
142
0.58 IPS |
|
|
Object Detection (F32)
|
94% |
4150
145.7 IPS |
|
|
Object Detection (F16)
|
94% |
4236
148.6 IPS |
|
|
Object Detection (I8)
|
52% |
572
20.1 IPS |
|
|
Face Detection (F32)
|
67% |
3964
45.5 IPS |
|
|
Face Detection (F16)
|
67% |
3864
44.4 IPS |
|
|
Face Detection (I8)
|
75% |
555
6.37 IPS |
|
|
Text Classification (F32)
|
100% |
234
92.5 IPS |
|
|
Text Classification (F16)
|
100% |
224
88.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1011
155.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1009
155.6 IPS |
