iPad Pro 12.9-inch (5th generation) iPad13,10
Geekbench ML Score
1017
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | May 21 2021 05:14 AM |
| Views | 60 |
| Notes | iPad Pro 12.9-inch (5th generation) with Wi-Fi + Cellular/512GB |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.5.1 |
| Model | iPad13,10 |
| Model ID | iPad13,10 |
| Motherboard | J523AP |
| CPU Information | |
|---|---|
| Name | ARM |
| 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 | 7.22 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
935
100.2 IPS |
|
|
Image Classification (F16)
|
100% |
934
100.0 IPS |
|
|
Image Classification (I8)
|
81% |
416
44.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1240
7.66 IPS |
|
|
Image Segmentation (F16)
|
100% |
1240
7.66 IPS |
|
|
Image Segmentation (I8)
|
89% |
1480
9.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
674
2.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
668
2.70 IPS |
|
|
Pose Estimation (I8)
|
80% |
796
3.22 IPS |
|
|
Object Detection (F32)
|
100% |
1446
50.8 IPS |
|
|
Object Detection (F16)
|
100% |
1447
50.8 IPS |
|
|
Object Detection (I8)
|
52% |
599
21.0 IPS |
|
|
Face Detection (F32)
|
100% |
1630
18.7 IPS |
|
|
Face Detection (F16)
|
100% |
1632
18.7 IPS |
|
|
Face Detection (I8)
|
75% |
830
9.54 IPS |
|
|
Text Classification (F32)
|
100% |
737
291.5 IPS |
|
|
Text Classification (F16)
|
100% |
667
263.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1855
285.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1846
284.5 IPS |
