iPad13,11
Geekbench ML Score
2592
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 17 2021 12:43 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.7.1 |
| Model | iPad13,11 |
| Model ID | iPad13,11 |
| Motherboard | J523xAP |
| CPU Information | |
|---|---|
| Name | ARM |
| 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 | 15.31 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5576
597.5 IPS |
|
|
Image Classification (F16)
|
100% |
5537
593.2 IPS |
|
|
Image Classification (I8)
|
81% |
692
74.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1957
12.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1955
12.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
1245
7.69 IPS |
|
|
Pose Estimation (F32)
|
100% |
18850
76.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
19222
77.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
236
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
7050
247.4 IPS |
|
|
Object Detection (F16)
|
100% |
7015
246.2 IPS |
|
|
Object Detection (I8)
|
52% |
966
33.9 IPS |
|
|
Face Detection (F32)
|
100% |
7276
83.6 IPS |
|
|
Face Detection (F16)
|
100% |
7278
83.6 IPS |
|
|
Face Detection (I8)
|
75% |
948
10.9 IPS |
|
|
Text Classification (F32)
|
100% |
1024
405.1 IPS |
|
|
Text Classification (F16)
|
100% |
1001
396.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1839
283.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1840
283.5 IPS |
