iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
1017
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 15 2022 01:05 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.2 |
| 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 | 7.31 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
948
101.6 IPS |
|
|
Image Classification (F16)
|
100% |
942
100.9 IPS |
|
|
Image Classification (I8)
|
81% |
389
41.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1339
8.27 IPS |
|
|
Image Segmentation (F16)
|
100% |
1342
8.29 IPS |
|
|
Image Segmentation (I8)
|
89% |
1522
9.40 IPS |
|
|
Pose Estimation (F32)
|
100% |
670
2.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
668
2.70 IPS |
|
|
Pose Estimation (I8)
|
80% |
783
3.17 IPS |
|
|
Object Detection (F32)
|
100% |
1432
50.3 IPS |
|
|
Object Detection (F16)
|
100% |
1429
50.1 IPS |
|
|
Object Detection (I8)
|
52% |
668
23.4 IPS |
|
|
Face Detection (F32)
|
100% |
1630
18.7 IPS |
|
|
Face Detection (F16)
|
100% |
1641
18.9 IPS |
|
|
Face Detection (I8)
|
75% |
797
9.16 IPS |
|
|
Text Classification (F32)
|
100% |
679
268.4 IPS |
|
|
Text Classification (F16)
|
100% |
625
247.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1840
283.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1848
284.8 IPS |
