iPad13,16
Geekbench ML Score
992
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 16 2022 04:00 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| Model | iPad13,16 |
| Model ID | iPad13,16 |
| Motherboard | J407AP |
| 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% |
915
98.0 IPS |
|
|
Image Classification (F16)
|
100% |
928
99.5 IPS |
|
|
Image Classification (I8)
|
81% |
393
42.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1334
8.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
1328
8.21 IPS |
|
|
Image Segmentation (I8)
|
89% |
1521
9.40 IPS |
|
|
Pose Estimation (F32)
|
100% |
629
2.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
609
2.47 IPS |
|
|
Pose Estimation (I8)
|
80% |
785
3.17 IPS |
|
|
Object Detection (F32)
|
100% |
1444
50.7 IPS |
|
|
Object Detection (F16)
|
100% |
1432
50.3 IPS |
|
|
Object Detection (I8)
|
52% |
584
20.5 IPS |
|
|
Face Detection (F32)
|
100% |
1631
18.7 IPS |
|
|
Face Detection (F16)
|
100% |
1615
18.6 IPS |
|
|
Face Detection (I8)
|
75% |
790
9.08 IPS |
|
|
Text Classification (F32)
|
100% |
628
248.3 IPS |
|
|
Text Classification (F16)
|
100% |
575
227.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1868
287.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1875
289.0 IPS |
