iPad13,16
Geekbench ML Score
1060
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 14 2023 01:48 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| 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% |
1057
113.3 IPS |
|
|
Image Classification (F16)
|
100% |
1030
110.4 IPS |
|
|
Image Classification (I8)
|
81% |
378
40.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1367
8.44 IPS |
|
|
Image Segmentation (F16)
|
100% |
1372
8.47 IPS |
|
|
Image Segmentation (I8)
|
89% |
1550
9.57 IPS |
|
|
Pose Estimation (F32)
|
100% |
684
2.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
668
2.70 IPS |
|
|
Pose Estimation (I8)
|
80% |
801
3.24 IPS |
|
|
Object Detection (F32)
|
100% |
1637
57.4 IPS |
|
|
Object Detection (F16)
|
100% |
1588
55.7 IPS |
|
|
Object Detection (I8)
|
52% |
616
21.6 IPS |
|
|
Face Detection (F32)
|
100% |
1780
20.4 IPS |
|
|
Face Detection (F16)
|
100% |
1828
21.0 IPS |
|
|
Face Detection (I8)
|
75% |
804
9.24 IPS |
|
|
Text Classification (F32)
|
100% |
684
270.5 IPS |
|
|
Text Classification (F16)
|
100% |
668
264.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1904
293.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1924
296.6 IPS |
