iPad Pro 11-inch (2nd generation)
Geekbench ML Score
1934
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | June 10 2023 08:30 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6 |
| 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 | 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3016
323.2 IPS |
|
|
Image Classification (F16)
|
100% |
4671
500.4 IPS |
|
|
Image Classification (I8)
|
81% |
401
43.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
5775
35.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
9768
60.3 IPS |
|
|
Image Segmentation (I8)
|
89% |
748
4.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
1990
8.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
6400
25.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
142
0.57 IPS |
|
|
Object Detection (F32)
|
100% |
2792
98.0 IPS |
|
|
Object Detection (F16)
|
99% |
2817
98.9 IPS |
|
|
Object Detection (I8)
|
52% |
566
19.9 IPS |
|
|
Face Detection (F32)
|
100% |
5445
62.6 IPS |
|
|
Face Detection (F16)
|
97% |
10561
121.3 IPS |
|
|
Face Detection (I8)
|
75% |
550
6.32 IPS |
|
|
Text Classification (F32)
|
100% |
2480
980.9 IPS |
|
|
Text Classification (F16)
|
98% |
1933
764.4 IPS |
|
|
Machine Translation (F32)
|
100% |
981
151.2 IPS |
|
|
Machine Translation (F16)
|
100% |
979
150.9 IPS |
