iPad Pro 12.9-inch (4th generation)
Geekbench ML Score
692
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 09:10 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| 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 | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 2.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
658
70.5 IPS |
|
|
Image Classification (F16)
|
100% |
644
69.0 IPS |
|
|
Image Classification (I8)
|
81% |
235
25.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
928
5.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
929
5.74 IPS |
|
|
Image Segmentation (I8)
|
89% |
1202
7.42 IPS |
|
|
Pose Estimation (F32)
|
100% |
449
1.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
449
1.82 IPS |
|
|
Pose Estimation (I8)
|
80% |
472
1.91 IPS |
|
|
Object Detection (F32)
|
100% |
984
34.5 IPS |
|
|
Object Detection (F16)
|
100% |
981
34.4 IPS |
|
|
Object Detection (I8)
|
52% |
448
15.7 IPS |
|
|
Face Detection (F32)
|
100% |
1168
13.4 IPS |
|
|
Face Detection (F16)
|
100% |
1170
13.4 IPS |
|
|
Face Detection (I8)
|
75% |
719
8.26 IPS |
|
|
Text Classification (F32)
|
100% |
466
184.3 IPS |
|
|
Text Classification (F16)
|
100% |
470
186.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1003
154.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1006
155.0 IPS |
