iPad Pro (12.9-inch)
Geekbench ML Score
593
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | KipR |
| Upload Date | October 25 2025 11:52 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| Model | iPad Pro (12.9-inch) |
| Model ID | iPad6,7 |
| Motherboard | J98aAP |
| CPU Information | |
|---|---|
| Name | Apple A9X |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores |
| 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 | 3.90 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
298
55.8 IPS |
|
|
Image Classification (F16)
|
100% |
230
43.0 IPS |
|
|
Image Classification (I8)
|
99% |
228
42.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
184
3.08 IPS |
|
|
Image Segmentation (I8)
|
100% |
186
3.10 IPS |
|
|
Pose Estimation (F32)
|
100% |
1984
2.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
1948
2.36 IPS |
|
|
Pose Estimation (I8)
|
100% |
1950
2.36 IPS |
|
|
Object Detection (F32)
|
100% |
292
21.8 IPS |
|
|
Object Detection (F16)
|
100% |
289
21.6 IPS |
|
|
Object Detection (I8)
|
97% |
283
21.1 IPS |
|
|
Face Detection (F32)
|
100% |
1369
16.3 IPS |
|
|
Face Detection (F16)
|
100% |
1301
15.5 IPS |
|
|
Face Detection (I8)
|
99% |
1326
15.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2080
16.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
2064
16.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
2040
15.8 IPS |
|
|
Style Transfer (F32)
|
100% |
4725
6.22 IPS |
|
|
Style Transfer (F16)
|
100% |
4717
6.21 IPS |
|
|
Style Transfer (I8)
|
100% |
5183
6.82 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1098
39.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1063
38.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1012
36.2 IPS |
|
|
Text Classification (F32)
|
100% |
43
62.5 IPS |
|
|
Text Classification (F16)
|
100% |
100
143.4 IPS |
|
|
Text Classification (I8)
|
96% |
100
143.1 IPS |
|
|
Machine Translation (F32)
|
100% |
203
3.74 IPS |
|
|
Machine Translation (F16)
|
100% |
172
3.17 IPS |
|
|
Machine Translation (I8)
|
99% |
204
3.76 IPS |
