iPad Pro 11-inch (2nd generation)
Geekbench ML Score
1421
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 06 2022 12:07 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.7 |
| 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 | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 2.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3480
372.9 IPS |
|
|
Image Classification (F16)
|
100% |
3468
371.6 IPS |
|
|
Image Classification (I8)
|
81% |
404
43.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1507
9.31 IPS |
|
|
Image Segmentation (F16)
|
100% |
1533
9.47 IPS |
|
|
Image Segmentation (I8)
|
89% |
750
4.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
7950
32.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
7911
32.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
142
0.58 IPS |
|
|
Object Detection (F32)
|
94% |
4169
146.3 IPS |
|
|
Object Detection (F16)
|
94% |
4184
146.8 IPS |
|
|
Object Detection (I8)
|
52% |
570
20.0 IPS |
|
|
Face Detection (F32)
|
67% |
4821
55.4 IPS |
|
|
Face Detection (F16)
|
67% |
4845
55.7 IPS |
|
|
Face Detection (I8)
|
75% |
554
6.36 IPS |
|
|
Text Classification (F32)
|
100% |
292
115.6 IPS |
|
|
Text Classification (F16)
|
100% |
292
115.6 IPS |
|
|
Machine Translation (F32)
|
100% |
986
151.9 IPS |
|
|
Machine Translation (F16)
|
100% |
984
151.6 IPS |
