iPad13,4
Geekbench ML Score
972
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 12 2021 08:49 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.5 |
| Model | iPad13,4 |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| 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 | 7.24 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
965
103.4 IPS |
|
|
Image Classification (F16)
|
100% |
962
103.1 IPS |
|
|
Image Classification (I8)
|
81% |
389
41.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1274
7.87 IPS |
|
|
Image Segmentation (F16)
|
100% |
1265
7.82 IPS |
|
|
Image Segmentation (I8)
|
89% |
1469
9.07 IPS |
|
|
Pose Estimation (F32)
|
100% |
667
2.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
620
2.51 IPS |
|
|
Pose Estimation (I8)
|
80% |
774
3.13 IPS |
|
|
Object Detection (F32)
|
100% |
1469
51.5 IPS |
|
|
Object Detection (F16)
|
100% |
1498
52.6 IPS |
|
|
Object Detection (I8)
|
52% |
407
14.3 IPS |
|
|
Face Detection (F32)
|
100% |
1772
20.4 IPS |
|
|
Face Detection (F16)
|
100% |
1805
20.7 IPS |
|
|
Face Detection (I8)
|
75% |
675
7.76 IPS |
|
|
Text Classification (F32)
|
100% |
653
258.2 IPS |
|
|
Text Classification (F16)
|
100% |
663
262.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1632
251.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1572
242.3 IPS |
