iPad13,9
Geekbench ML Score
2598
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 13 2021 07:47 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| Model | iPad13,9 |
| Model ID | iPad13,9 |
| Motherboard | J522xAP |
| 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 | 15.22 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5516
591.1 IPS |
|
|
Image Classification (F16)
|
100% |
5506
590.0 IPS |
|
|
Image Classification (I8)
|
81% |
692
74.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1964
12.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1961
12.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
1250
7.72 IPS |
|
|
Pose Estimation (F32)
|
100% |
19505
78.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
19527
79.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
237
0.96 IPS |
|
|
Object Detection (F32)
|
100% |
6981
245.0 IPS |
|
|
Object Detection (F16)
|
100% |
6982
245.0 IPS |
|
|
Object Detection (I8)
|
52% |
977
34.3 IPS |
|
|
Face Detection (F32)
|
100% |
7243
83.2 IPS |
|
|
Face Detection (F16)
|
100% |
7218
82.9 IPS |
|
|
Face Detection (I8)
|
75% |
950
10.9 IPS |
|
|
Text Classification (F32)
|
100% |
1013
400.6 IPS |
|
|
Text Classification (F16)
|
100% |
1009
399.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1854
285.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1849
284.9 IPS |
