iPad Pro (11-inch 3rd generation)
Geekbench ML Score
1035
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 12 2024 05:30 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| 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 | 7.37 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1033
110.7 IPS |
|
|
Image Classification (F16)
|
100% |
1026
109.9 IPS |
|
|
Image Classification (I8)
|
81% |
389
41.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1421
8.78 IPS |
|
|
Image Segmentation (F16)
|
100% |
1414
8.73 IPS |
|
|
Image Segmentation (I8)
|
89% |
1497
9.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
672
2.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
674
2.73 IPS |
|
|
Pose Estimation (I8)
|
80% |
792
3.20 IPS |
|
|
Object Detection (F32)
|
100% |
1556
54.6 IPS |
|
|
Object Detection (F16)
|
100% |
1567
55.0 IPS |
|
|
Object Detection (I8)
|
52% |
619
21.7 IPS |
|
|
Face Detection (F32)
|
100% |
1768
20.3 IPS |
|
|
Face Detection (F16)
|
100% |
1760
20.2 IPS |
|
|
Face Detection (I8)
|
75% |
790
9.08 IPS |
|
|
Text Classification (F32)
|
100% |
630
249.3 IPS |
|
|
Text Classification (F16)
|
100% |
585
231.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1782
274.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1782
274.6 IPS |
