iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
2809
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 19 2022 07:37 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.2.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,10 |
| Motherboard | J523AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 7.31 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4167
446.5 IPS |
|
|
Image Classification (F16)
|
100% |
5797
621.1 IPS |
|
|
Image Classification (I8)
|
81% |
672
72.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
7856
48.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
11519
71.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
1228
7.59 IPS |
|
|
Pose Estimation (F32)
|
100% |
2718
11.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
6782
27.4 IPS |
|
|
Pose Estimation (I8)
|
80% |
233
0.94 IPS |
|
|
Object Detection (F32)
|
100% |
3647
128.0 IPS |
|
|
Object Detection (F16)
|
100% |
3515
123.4 IPS |
|
|
Object Detection (I8)
|
52% |
968
34.0 IPS |
|
|
Face Detection (F32)
|
100% |
6879
79.0 IPS |
|
|
Face Detection (F16)
|
97% |
12430
142.8 IPS |
|
|
Face Detection (I8)
|
75% |
946
10.9 IPS |
|
|
Text Classification (F32)
|
100% |
3377
1.34 KIPS |
|
|
Text Classification (F16)
|
100% |
3755
1.49 KIPS |
|
|
Machine Translation (F32)
|
100% |
1864
287.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1817
280.1 IPS |
