iPad Pro (9.7-inch)
Geekbench ML Score
314
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 05 2025 07:55 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.12 |
| Model | iPad Pro (9.7-inch) |
| Model ID | iPad6,3 |
| Motherboard | J127AP |
| CPU Information | |
|---|---|
| Name | Apple A9X |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 2.26 GHz |
| L1 Instruction Cache | 64.0 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 3.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 1.92 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
108
11.5 IPS |
|
|
Image Classification (F16)
|
100% |
218
23.3 IPS |
|
|
Image Classification (I8)
|
81% |
392
42.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
405
2.50 IPS |
|
|
Image Segmentation (F16)
|
100% |
391
2.42 IPS |
|
|
Image Segmentation (I8)
|
89% |
629
3.88 IPS |
|
|
Pose Estimation (F32)
|
100% |
129
0.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
126
0.51 IPS |
|
|
Pose Estimation (I8)
|
80% |
118
0.48 IPS |
|
|
Object Detection (F32)
|
100% |
323
11.3 IPS |
|
|
Object Detection (F16)
|
100% |
328
11.5 IPS |
|
|
Object Detection (I8)
|
52% |
478
16.8 IPS |
|
|
Face Detection (F32)
|
100% |
411
4.72 IPS |
|
|
Face Detection (F16)
|
100% |
408
4.69 IPS |
|
|
Face Detection (I8)
|
75% |
473
5.44 IPS |
|
|
Text Classification (F32)
|
100% |
491
194.3 IPS |
|
|
Text Classification (F16)
|
100% |
489
193.4 IPS |
|
|
Machine Translation (F32)
|
100% |
400
61.6 IPS |
|
|
Machine Translation (F16)
|
100% |
421
64.9 IPS |
