iPad13,5
Geekbench ML Score
1024
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 11 2021 04:29 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.7 |
| Model | iPad13,5 |
| Model ID | iPad13,5 |
| Motherboard | J517xAP |
| 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 | 15.24 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
943
101.0 IPS |
|
|
Image Classification (F16)
|
100% |
939
100.6 IPS |
|
|
Image Classification (I8)
|
81% |
407
43.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1246
7.69 IPS |
|
|
Image Segmentation (F16)
|
100% |
1244
7.69 IPS |
|
|
Image Segmentation (I8)
|
89% |
1530
9.45 IPS |
|
|
Pose Estimation (F32)
|
100% |
670
2.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
668
2.70 IPS |
|
|
Pose Estimation (I8)
|
80% |
800
3.24 IPS |
|
|
Object Detection (F32)
|
100% |
1473
51.7 IPS |
|
|
Object Detection (F16)
|
100% |
1475
51.8 IPS |
|
|
Object Detection (I8)
|
52% |
611
21.4 IPS |
|
|
Face Detection (F32)
|
100% |
1674
19.2 IPS |
|
|
Face Detection (F16)
|
100% |
1651
19.0 IPS |
|
|
Face Detection (I8)
|
75% |
826
9.49 IPS |
|
|
Text Classification (F32)
|
100% |
681
269.4 IPS |
|
|
Text Classification (F16)
|
100% |
720
284.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1880
289.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1848
284.8 IPS |
