iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
2702
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 15 2022 11:39 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6100
653.6 IPS |
|
|
Image Classification (F16)
|
100% |
6039
647.0 IPS |
|
|
Image Classification (I8)
|
81% |
688
73.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2222
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2213
13.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
1234
7.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
19856
80.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
19582
79.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
236
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
7304
256.3 IPS |
|
|
Object Detection (F16)
|
100% |
7298
256.1 IPS |
|
|
Object Detection (I8)
|
52% |
975
34.2 IPS |
|
|
Face Detection (F32)
|
100% |
7873
90.5 IPS |
|
|
Face Detection (F16)
|
100% |
7880
90.5 IPS |
|
|
Face Detection (I8)
|
75% |
947
10.9 IPS |
|
|
Text Classification (F32)
|
100% |
1044
413.1 IPS |
|
|
Text Classification (F16)
|
100% |
1045
413.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1853
285.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1833
282.5 IPS |
