iPad15,3
Geekbench ML Score
1879
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 15 2025 07:42 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.06 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 | 7.46 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1431
153.4 IPS |
|
|
Image Classification (F16)
|
100% |
1433
153.5 IPS |
|
|
Image Classification (I8)
|
81% |
972
104.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1799
11.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1781
11.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
1928
11.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
926
3.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
923
3.73 IPS |
|
|
Pose Estimation (I8)
|
80% |
991
4.01 IPS |
|
|
Object Detection (F32)
|
100% |
2389
83.8 IPS |
|
|
Object Detection (F16)
|
100% |
2391
83.9 IPS |
|
|
Object Detection (I8)
|
52% |
1258
44.1 IPS |
|
|
Face Detection (F32)
|
100% |
2816
32.4 IPS |
|
|
Face Detection (F16)
|
100% |
2816
32.4 IPS |
|
|
Face Detection (I8)
|
75% |
1562
17.9 IPS |
|
|
Text Classification (F32)
|
100% |
4871
1.93 KIPS |
|
|
Text Classification (F16)
|
100% |
4865
1.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
2703
416.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2700
416.1 IPS |
