iPad Pro (12.9-inch 3rd Generation)
Geekbench ML Score
1504
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | July 26 2025 10:47 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro (12.9-inch 3rd Generation) |
| Model ID | iPad8,7 |
| Motherboard | J321AP |
| CPU Information | |
|---|---|
| Name | Apple A12X Bionic |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 2.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.66 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4005
429.1 IPS |
|
|
Image Classification (F16)
|
100% |
4104
439.7 IPS |
|
|
Image Classification (I8)
|
81% |
395
42.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1556
9.61 IPS |
|
|
Image Segmentation (F16)
|
100% |
1559
9.63 IPS |
|
|
Image Segmentation (I8)
|
89% |
728
4.49 IPS |
|
|
Pose Estimation (F32)
|
100% |
8328
33.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
8118
32.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
141
0.57 IPS |
|
|
Object Detection (F32)
|
94% |
4390
154.1 IPS |
|
|
Object Detection (F16)
|
94% |
4290
150.6 IPS |
|
|
Object Detection (I8)
|
52% |
570
20.0 IPS |
|
|
Face Detection (F32)
|
67% |
5029
57.8 IPS |
|
|
Face Detection (F16)
|
67% |
4826
55.4 IPS |
|
|
Face Detection (I8)
|
75% |
555
6.38 IPS |
|
|
Text Classification (F32)
|
100% |
404
159.6 IPS |
|
|
Text Classification (F16)
|
100% |
371
146.8 IPS |
|
|
Machine Translation (F32)
|
100% |
992
152.9 IPS |
|
|
Machine Translation (F16)
|
100% |
999
154.0 IPS |
