iPad15,3
Geekbench ML Score
3933
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 15 2025 07:43 PM |
| Views | 4 |
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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8918
955.6 IPS |
|
|
Image Classification (F16)
|
100% |
8915
955.2 IPS |
|
|
Image Classification (I8)
|
81% |
839
89.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2831
17.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2853
17.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
1550
9.57 IPS |
|
|
Pose Estimation (F32)
|
100% |
31331
126.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
31938
129.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
288
1.17 IPS |
|
|
Object Detection (F32)
|
100% |
10317
362.1 IPS |
|
|
Object Detection (F16)
|
100% |
10369
363.9 IPS |
|
|
Object Detection (I8)
|
52% |
1204
42.2 IPS |
|
|
Face Detection (F32)
|
100% |
12756
146.6 IPS |
|
|
Face Detection (F16)
|
100% |
12921
148.4 IPS |
|
|
Face Detection (I8)
|
75% |
1202
13.8 IPS |
|
|
Text Classification (F32)
|
100% |
2118
837.5 IPS |
|
|
Text Classification (F16)
|
100% |
2120
838.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2689
414.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2694
415.2 IPS |
