iPad13,4
Geekbench ML Score
2710
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 08:08 PM |
| Views | 1 |
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% |
6080
651.5 IPS |
|
|
Image Classification (F16)
|
100% |
6047
648.0 IPS |
|
|
Image Classification (I8)
|
81% |
693
74.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2021
12.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2021
12.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
1270
7.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
19229
77.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
19847
80.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
240
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
7332
257.3 IPS |
|
|
Object Detection (F16)
|
100% |
7318
256.8 IPS |
|
|
Object Detection (I8)
|
52% |
985
34.6 IPS |
|
|
Face Detection (F32)
|
100% |
7918
91.0 IPS |
|
|
Face Detection (F16)
|
100% |
7981
91.7 IPS |
|
|
Face Detection (I8)
|
75% |
966
11.1 IPS |
|
|
Text Classification (F32)
|
100% |
1130
447.1 IPS |
|
|
Text Classification (F16)
|
100% |
1128
446.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1842
283.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1848
284.7 IPS |
