iPad13,16
Geekbench ML Score
2697
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 23 2022 07:33 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.7 |
| Model | iPad13,16 |
| Model ID | iPad13,16 |
| Motherboard | J407AP |
| 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 | 7.45 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6094
652.9 IPS |
|
|
Image Classification (F16)
|
100% |
6073
650.7 IPS |
|
|
Image Classification (I8)
|
81% |
686
73.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2237
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2225
13.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
1232
7.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
19759
80.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
19118
77.4 IPS |
|
|
Pose Estimation (I8)
|
80% |
236
0.96 IPS |
|
|
Object Detection (F32)
|
100% |
7336
257.4 IPS |
|
|
Object Detection (F16)
|
100% |
7297
256.1 IPS |
|
|
Object Detection (I8)
|
52% |
968
34.0 IPS |
|
|
Face Detection (F32)
|
100% |
7883
90.6 IPS |
|
|
Face Detection (F16)
|
100% |
7895
90.7 IPS |
|
|
Face Detection (I8)
|
75% |
948
10.9 IPS |
|
|
Text Classification (F32)
|
100% |
1049
415.0 IPS |
|
|
Text Classification (F16)
|
100% |
1039
411.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1823
281.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1828
281.7 IPS |
