iPad14,5
Geekbench ML Score
1244
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 04 2022 11:02 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1 |
| Model | iPad14,5 |
| Model ID | iPad14,5 |
| Motherboard | J620AP |
| 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 | 7.33 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1076
115.2 IPS |
|
|
Image Classification (F16)
|
100% |
1075
115.2 IPS |
|
|
Image Classification (I8)
|
81% |
753
80.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1462
9.03 IPS |
|
|
Image Segmentation (F16)
|
100% |
1441
8.90 IPS |
|
|
Image Segmentation (I8)
|
89% |
1795
11.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
753
3.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
754
3.05 IPS |
|
|
Pose Estimation (I8)
|
80% |
880
3.56 IPS |
|
|
Object Detection (F32)
|
100% |
1690
59.3 IPS |
|
|
Object Detection (F16)
|
100% |
1689
59.3 IPS |
|
|
Object Detection (I8)
|
52% |
1090
38.3 IPS |
|
|
Face Detection (F32)
|
100% |
1936
22.2 IPS |
|
|
Face Detection (F16)
|
100% |
1947
22.4 IPS |
|
|
Face Detection (I8)
|
75% |
1242
14.3 IPS |
|
|
Text Classification (F32)
|
100% |
830
328.3 IPS |
|
|
Text Classification (F16)
|
100% |
893
353.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1881
289.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1899
292.7 IPS |
