iPad14,6
Geekbench ML Score
3162
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 20 2022 01:15 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 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 | 15.33 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7821
838.0 IPS |
|
|
Image Classification (F16)
|
100% |
7645
819.1 IPS |
|
|
Image Classification (I8)
|
81% |
740
79.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2187
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2180
13.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
1343
8.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
28208
114.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
27587
111.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
255
1.03 IPS |
|
|
Object Detection (F32)
|
100% |
8796
308.7 IPS |
|
|
Object Detection (F16)
|
100% |
8815
309.4 IPS |
|
|
Object Detection (I8)
|
52% |
1053
36.9 IPS |
|
|
Face Detection (F32)
|
100% |
9982
114.7 IPS |
|
|
Face Detection (F16)
|
100% |
9772
112.3 IPS |
|
|
Face Detection (I8)
|
75% |
1031
11.8 IPS |
|
|
Text Classification (F32)
|
100% |
1342
530.7 IPS |
|
|
Text Classification (F16)
|
100% |
1364
539.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1939
298.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1934
298.1 IPS |
