iPad14,6
Geekbench ML Score
3164
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 08 2022 03:14 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.2 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7641
818.7 IPS |
|
|
Image Classification (F16)
|
100% |
7567
810.8 IPS |
|
|
Image Classification (I8)
|
81% |
750
80.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2344
14.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2335
14.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
1351
8.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
27907
112.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
27639
111.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
260
1.05 IPS |
|
|
Object Detection (F32)
|
100% |
8693
305.1 IPS |
|
|
Object Detection (F16)
|
100% |
8616
302.4 IPS |
|
|
Object Detection (I8)
|
52% |
1051
36.9 IPS |
|
|
Face Detection (F32)
|
100% |
9694
111.4 IPS |
|
|
Face Detection (F16)
|
100% |
9704
111.5 IPS |
|
|
Face Detection (I8)
|
75% |
1030
11.8 IPS |
|
|
Text Classification (F32)
|
100% |
1316
520.6 IPS |
|
|
Text Classification (F16)
|
100% |
1332
526.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1928
297.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1932
297.7 IPS |
