iPad13,11
Geekbench ML Score
2599
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 12 2021 10:43 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| Model | iPad13,11 |
| Model ID | iPad13,11 |
| Motherboard | J523xAP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.20 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 | 15.22 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5536
593.1 IPS |
|
|
Image Classification (F16)
|
100% |
5635
603.7 IPS |
|
|
Image Classification (I8)
|
81% |
693
74.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1938
12.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1964
12.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
1246
7.70 IPS |
|
|
Pose Estimation (F32)
|
100% |
19270
78.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
19733
79.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
236
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
6946
243.8 IPS |
|
|
Object Detection (F16)
|
100% |
6919
242.8 IPS |
|
|
Object Detection (I8)
|
52% |
968
34.0 IPS |
|
|
Face Detection (F32)
|
100% |
7237
83.1 IPS |
|
|
Face Detection (F16)
|
100% |
7228
83.0 IPS |
|
|
Face Detection (I8)
|
75% |
948
10.9 IPS |
|
|
Text Classification (F32)
|
100% |
1023
404.4 IPS |
|
|
Text Classification (F16)
|
100% |
1018
402.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1856
286.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1855
285.9 IPS |
