iPad Pro (12.9-inch 5th generation)
Geekbench ML Score
2739
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 24 2022 06:44 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.2 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,11 |
| Motherboard | J523xAP |
| 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6789
727.4 IPS |
|
|
Image Classification (F16)
|
100% |
6799
728.5 IPS |
|
|
Image Classification (I8)
|
81% |
676
72.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2079
12.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2074
12.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
1230
7.59 IPS |
|
|
Pose Estimation (F32)
|
100% |
19049
77.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
20533
83.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
232
0.94 IPS |
|
|
Object Detection (F32)
|
100% |
7958
279.3 IPS |
|
|
Object Detection (F16)
|
100% |
8057
282.8 IPS |
|
|
Object Detection (I8)
|
52% |
949
33.3 IPS |
|
|
Face Detection (F32)
|
100% |
8303
95.4 IPS |
|
|
Face Detection (F16)
|
100% |
8340
95.8 IPS |
|
|
Face Detection (I8)
|
75% |
935
10.7 IPS |
|
|
Text Classification (F32)
|
100% |
1093
432.4 IPS |
|
|
Text Classification (F16)
|
100% |
1068
422.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1729
266.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1735
267.4 IPS |
