iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
2714
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 17 2022 11:25 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,10 |
| Motherboard | J523AP |
| 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% |
6003
643.2 IPS |
|
|
Image Classification (F16)
|
100% |
6009
643.9 IPS |
|
|
Image Classification (I8)
|
81% |
688
73.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2254
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2252
13.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
1257
7.76 IPS |
|
|
Pose Estimation (F32)
|
100% |
19583
79.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
19860
80.4 IPS |
|
|
Pose Estimation (I8)
|
80% |
240
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
7364
258.4 IPS |
|
|
Object Detection (F16)
|
100% |
7311
256.6 IPS |
|
|
Object Detection (I8)
|
52% |
986
34.6 IPS |
|
|
Face Detection (F32)
|
100% |
7922
91.0 IPS |
|
|
Face Detection (F16)
|
100% |
7882
90.6 IPS |
|
|
Face Detection (I8)
|
75% |
967
11.1 IPS |
|
|
Text Classification (F32)
|
100% |
1037
410.3 IPS |
|
|
Text Classification (F16)
|
100% |
1039
410.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1846
284.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1840
283.6 IPS |
