iPad13,17
Geekbench ML Score
994
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | April 04 2022 06:50 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| Model | iPad13,17 |
| Model ID | iPad13,17 |
| Motherboard | J408AP |
| 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 | 7.45 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
936
100.2 IPS |
|
|
Image Classification (F16)
|
100% |
933
100.0 IPS |
|
|
Image Classification (I8)
|
81% |
378
40.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1325
8.19 IPS |
|
|
Image Segmentation (F16)
|
100% |
1328
8.20 IPS |
|
|
Image Segmentation (I8)
|
89% |
1523
9.41 IPS |
|
|
Pose Estimation (F32)
|
100% |
668
2.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
658
2.66 IPS |
|
|
Pose Estimation (I8)
|
80% |
795
3.22 IPS |
|
|
Object Detection (F32)
|
100% |
1450
50.9 IPS |
|
|
Object Detection (F16)
|
100% |
1446
50.8 IPS |
|
|
Object Detection (I8)
|
52% |
586
20.6 IPS |
|
|
Face Detection (F32)
|
100% |
1641
18.9 IPS |
|
|
Face Detection (F16)
|
100% |
1626
18.7 IPS |
|
|
Face Detection (I8)
|
75% |
795
9.14 IPS |
|
|
Text Classification (F32)
|
100% |
581
230.0 IPS |
|
|
Text Classification (F16)
|
100% |
581
229.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1825
281.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1817
280.0 IPS |
