iPad (9th generation) iPad12,1
Geekbench ML Score
1812
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | November 17 2022 02:18 AM |
| Views | 12 |
| Notes | iPad (9th generation)/64GB |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1.1 |
| Model | iPad12,1 |
| Model ID | iPad12,1 |
| Motherboard | J181AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| L1 Instruction Cache | 96.0 KB x 1 |
| L1 Data Cache | 48.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.87 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4472
479.2 IPS |
|
|
Image Classification (F16)
|
100% |
4454
477.2 IPS |
|
|
Image Classification (I8)
|
81% |
448
48.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1493
9.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
1497
9.25 IPS |
|
|
Image Segmentation (I8)
|
89% |
824
5.09 IPS |
|
|
Pose Estimation (F32)
|
100% |
8422
34.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
8731
35.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
154
0.62 IPS |
|
|
Object Detection (F32)
|
94% |
5515
193.5 IPS |
|
|
Object Detection (F16)
|
94% |
5479
192.3 IPS |
|
|
Object Detection (I8)
|
52% |
643
22.6 IPS |
|
|
Face Detection (F32)
|
67% |
5703
65.5 IPS |
|
|
Face Detection (F16)
|
67% |
5722
65.7 IPS |
|
|
Face Detection (I8)
|
75% |
635
7.29 IPS |
|
|
Text Classification (F32)
|
100% |
837
331.0 IPS |
|
|
Text Classification (F16)
|
100% |
876
346.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1208
186.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1219
187.8 IPS |
