iPad12,1
Geekbench ML Score
723
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 06 2022 06:43 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.6.1 |
| Model | iPad12,1 |
| Model ID | iPad12,1 |
| Motherboard | J181AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.62 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
534
57.2 IPS |
|
|
Image Classification (F16)
|
100% |
519
55.6 IPS |
|
|
Image Classification (I8)
|
81% |
325
34.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
872
5.39 IPS |
|
|
Image Segmentation (F16)
|
100% |
843
5.21 IPS |
|
|
Image Segmentation (I8)
|
89% |
1098
6.78 IPS |
|
|
Pose Estimation (F32)
|
100% |
269
1.09 IPS |
|
|
Pose Estimation (F16)
|
100% |
266
1.08 IPS |
|
|
Pose Estimation (I8)
|
80% |
329
1.33 IPS |
|
|
Object Detection (F32)
|
100% |
787
27.6 IPS |
|
|
Object Detection (F16)
|
100% |
788
27.6 IPS |
|
|
Object Detection (I8)
|
52% |
613
21.5 IPS |
|
|
Face Detection (F32)
|
100% |
995
11.4 IPS |
|
|
Face Detection (F16)
|
100% |
981
11.3 IPS |
|
|
Face Detection (I8)
|
75% |
714
8.20 IPS |
|
|
Text Classification (F32)
|
100% |
1779
703.5 IPS |
|
|
Text Classification (F16)
|
100% |
1813
717.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1198
184.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1205
185.8 IPS |
