iPad13,17
Geekbench ML Score
1005
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 10 2022 01:40 AM |
| 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% |
931
99.8 IPS |
|
|
Image Classification (F16)
|
100% |
931
99.7 IPS |
|
|
Image Classification (I8)
|
81% |
381
40.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1325
8.18 IPS |
|
|
Image Segmentation (F16)
|
100% |
1326
8.19 IPS |
|
|
Image Segmentation (I8)
|
89% |
1576
9.73 IPS |
|
|
Pose Estimation (F32)
|
100% |
671
2.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
653
2.64 IPS |
|
|
Pose Estimation (I8)
|
80% |
802
3.24 IPS |
|
|
Object Detection (F32)
|
100% |
1458
51.2 IPS |
|
|
Object Detection (F16)
|
100% |
1462
51.3 IPS |
|
|
Object Detection (I8)
|
52% |
604
21.2 IPS |
|
|
Face Detection (F32)
|
100% |
1662
19.1 IPS |
|
|
Face Detection (F16)
|
100% |
1628
18.7 IPS |
|
|
Face Detection (I8)
|
75% |
797
9.16 IPS |
|
|
Text Classification (F32)
|
100% |
603
238.5 IPS |
|
|
Text Classification (F16)
|
100% |
612
242.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1836
282.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1828
281.7 IPS |
