iPad13,4
Geekbench ML Score
1049
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 23 2021 10:17 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| Model | iPad13,4 |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 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 |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
951
101.9 IPS |
|
|
Image Classification (F16)
|
100% |
946
101.4 IPS |
|
|
Image Classification (I8)
|
81% |
401
42.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1250
7.72 IPS |
|
|
Image Segmentation (F16)
|
100% |
1249
7.71 IPS |
|
|
Image Segmentation (I8)
|
89% |
1449
8.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
668
2.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
668
2.70 IPS |
|
|
Pose Estimation (I8)
|
80% |
795
3.22 IPS |
|
|
Object Detection (F32)
|
100% |
1431
50.2 IPS |
|
|
Object Detection (F16)
|
100% |
1433
50.3 IPS |
|
|
Object Detection (I8)
|
52% |
606
21.3 IPS |
|
|
Face Detection (F32)
|
100% |
1645
18.9 IPS |
|
|
Face Detection (F16)
|
100% |
1636
18.8 IPS |
|
|
Face Detection (I8)
|
75% |
790
9.07 IPS |
|
|
Text Classification (F32)
|
100% |
1283
507.3 IPS |
|
|
Text Classification (F16)
|
100% |
741
293.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1847
284.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1851
285.3 IPS |
