iPad13,4
Geekbench ML Score
2685
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 08:00 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| Model | iPad13,4 |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| 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 | 7.33 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6127
656.5 IPS |
|
|
Image Classification (F16)
|
100% |
6066
650.0 IPS |
|
|
Image Classification (I8)
|
81% |
690
73.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1996
12.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2003
12.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
1246
7.70 IPS |
|
|
Pose Estimation (F32)
|
100% |
18647
75.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
18729
75.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
236
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
7487
262.7 IPS |
|
|
Object Detection (F16)
|
100% |
7358
258.2 IPS |
|
|
Object Detection (I8)
|
52% |
968
34.0 IPS |
|
|
Face Detection (F32)
|
100% |
7915
90.9 IPS |
|
|
Face Detection (F16)
|
100% |
7951
91.4 IPS |
|
|
Face Detection (I8)
|
75% |
948
10.9 IPS |
|
|
Text Classification (F32)
|
100% |
1118
442.0 IPS |
|
|
Text Classification (F16)
|
100% |
1114
440.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1843
284.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1839
283.4 IPS |
