iPad13,8
Geekbench ML Score
1016
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 14 2021 06:19 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.1 |
| Model | iPad13,8 |
| Model ID | iPad13,8 |
| Motherboard | J522AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.20 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 | 7.31 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
932
99.8 IPS |
|
|
Image Classification (F16)
|
100% |
933
100.0 IPS |
|
|
Image Classification (I8)
|
81% |
403
43.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1243
7.68 IPS |
|
|
Image Segmentation (F16)
|
100% |
1242
7.67 IPS |
|
|
Image Segmentation (I8)
|
89% |
1477
9.12 IPS |
|
|
Pose Estimation (F32)
|
100% |
666
2.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
672
2.72 IPS |
|
|
Pose Estimation (I8)
|
80% |
799
3.23 IPS |
|
|
Object Detection (F32)
|
100% |
1463
51.3 IPS |
|
|
Object Detection (F16)
|
100% |
1477
51.8 IPS |
|
|
Object Detection (I8)
|
52% |
609
21.4 IPS |
|
|
Face Detection (F32)
|
100% |
1636
18.8 IPS |
|
|
Face Detection (F16)
|
100% |
1651
19.0 IPS |
|
|
Face Detection (I8)
|
75% |
796
9.15 IPS |
|
|
Text Classification (F32)
|
100% |
742
293.5 IPS |
|
|
Text Classification (F16)
|
100% |
664
262.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1851
285.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1854
285.7 IPS |
