iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
1023
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | davidblue |
| Upload Date | September 07 2022 09:15 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,9 |
| Motherboard | J522xAP |
| 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 | 15.34 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
947
101.4 IPS |
|
|
Image Classification (F16)
|
100% |
948
101.6 IPS |
|
|
Image Classification (I8)
|
81% |
403
43.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1355
8.37 IPS |
|
|
Image Segmentation (F16)
|
100% |
1338
8.26 IPS |
|
|
Image Segmentation (I8)
|
89% |
1504
9.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
644
2.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
630
2.55 IPS |
|
|
Pose Estimation (I8)
|
80% |
789
3.19 IPS |
|
|
Object Detection (F32)
|
100% |
1494
52.4 IPS |
|
|
Object Detection (F16)
|
100% |
1471
51.6 IPS |
|
|
Object Detection (I8)
|
52% |
595
20.9 IPS |
|
|
Face Detection (F32)
|
100% |
1674
19.2 IPS |
|
|
Face Detection (F16)
|
100% |
1672
19.2 IPS |
|
|
Face Detection (I8)
|
75% |
827
9.50 IPS |
|
|
Text Classification (F32)
|
100% |
676
267.5 IPS |
|
|
Text Classification (F16)
|
100% |
686
271.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1889
291.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1846
284.5 IPS |
