iPad13,16
Geekbench ML Score
1045
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | June 27 2025 02:28 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.7.1 |
| 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% |
1038
111.2 IPS |
|
|
Image Classification (F16)
|
100% |
1042
111.6 IPS |
|
|
Image Classification (I8)
|
81% |
407
43.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1412
8.72 IPS |
|
|
Image Segmentation (F16)
|
100% |
1411
8.72 IPS |
|
|
Image Segmentation (I8)
|
89% |
1490
9.20 IPS |
|
|
Pose Estimation (F32)
|
100% |
638
2.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
620
2.51 IPS |
|
|
Pose Estimation (I8)
|
80% |
761
3.08 IPS |
|
|
Object Detection (F32)
|
100% |
1535
53.9 IPS |
|
|
Object Detection (F16)
|
100% |
1571
55.1 IPS |
|
|
Object Detection (I8)
|
52% |
603
21.2 IPS |
|
|
Face Detection (F32)
|
100% |
1741
20.0 IPS |
|
|
Face Detection (F16)
|
100% |
1748
20.1 IPS |
|
|
Face Detection (I8)
|
75% |
813
9.34 IPS |
|
|
Text Classification (F32)
|
100% |
682
269.6 IPS |
|
|
Text Classification (F16)
|
100% |
653
258.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1918
295.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1920
295.9 IPS |
