iPad13,16
Geekbench ML Score
1051
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 13 2023 10:01 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.1 |
| Model | iPad13,16 |
| Model ID | iPad13,16 |
| Motherboard | J407AP |
| 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1075
115.2 IPS |
|
|
Image Classification (F16)
|
100% |
1022
109.5 IPS |
|
|
Image Classification (I8)
|
81% |
406
43.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1405
8.68 IPS |
|
|
Image Segmentation (F16)
|
100% |
1410
8.71 IPS |
|
|
Image Segmentation (I8)
|
89% |
1487
9.18 IPS |
|
|
Pose Estimation (F32)
|
100% |
656
2.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
609
2.46 IPS |
|
|
Pose Estimation (I8)
|
80% |
757
3.06 IPS |
|
|
Object Detection (F32)
|
100% |
1619
56.8 IPS |
|
|
Object Detection (F16)
|
100% |
1635
57.4 IPS |
|
|
Object Detection (I8)
|
52% |
610
21.4 IPS |
|
|
Face Detection (F32)
|
100% |
1758
20.2 IPS |
|
|
Face Detection (F16)
|
100% |
1755
20.2 IPS |
|
|
Face Detection (I8)
|
75% |
790
9.08 IPS |
|
|
Text Classification (F32)
|
100% |
654
258.8 IPS |
|
|
Text Classification (F16)
|
100% |
692
273.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1907
293.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1930
297.4 IPS |
