iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
1038
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 16 2025 05:59 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,8 |
| Motherboard | J522AP |
| 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 | 7.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1027
110.0 IPS |
|
|
Image Classification (F16)
|
100% |
1050
112.5 IPS |
|
|
Image Classification (I8)
|
81% |
404
43.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1411
8.72 IPS |
|
|
Image Segmentation (F16)
|
100% |
1452
8.97 IPS |
|
|
Image Segmentation (I8)
|
89% |
1499
9.26 IPS |
|
|
Pose Estimation (F32)
|
100% |
682
2.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
664
2.69 IPS |
|
|
Pose Estimation (I8)
|
80% |
797
3.23 IPS |
|
|
Object Detection (F32)
|
100% |
1570
55.1 IPS |
|
|
Object Detection (F16)
|
100% |
1647
57.8 IPS |
|
|
Object Detection (I8)
|
52% |
597
20.9 IPS |
|
|
Face Detection (F32)
|
100% |
1748
20.1 IPS |
|
|
Face Detection (F16)
|
100% |
1751
20.1 IPS |
|
|
Face Detection (I8)
|
75% |
811
9.32 IPS |
|
|
Text Classification (F32)
|
100% |
590
233.4 IPS |
|
|
Text Classification (F16)
|
100% |
584
231.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1799
277.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1794
276.6 IPS |
