iPad Pro (9.7-inch)
Geekbench ML Score
602
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 05 2026 02:21 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.14 |
| Model | iPad Pro (9.7-inch) |
| Model ID | iPad6,4 |
| Motherboard | J128AP |
| 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 | 1.92 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
252
47.2 IPS |
|
|
Image Classification (F16)
|
100% |
225
42.1 IPS |
|
|
Image Classification (I8)
|
99% |
257
48.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
183
3.05 IPS |
|
|
Image Segmentation (F16)
|
100% |
180
3.01 IPS |
|
|
Image Segmentation (I8)
|
100% |
181
3.03 IPS |
|
|
Pose Estimation (F32)
|
100% |
2047
2.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
2027
2.45 IPS |
|
|
Pose Estimation (I8)
|
100% |
2035
2.46 IPS |
|
|
Object Detection (F32)
|
100% |
376
28.1 IPS |
|
|
Object Detection (F16)
|
100% |
292
21.8 IPS |
|
|
Object Detection (I8)
|
97% |
323
24.1 IPS |
|
|
Face Detection (F32)
|
100% |
1257
14.9 IPS |
|
|
Face Detection (F16)
|
100% |
1162
13.8 IPS |
|
|
Face Detection (I8)
|
99% |
1171
13.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2175
16.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2178
16.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
2180
16.9 IPS |
|
|
Style Transfer (F32)
|
100% |
4829
6.35 IPS |
|
|
Style Transfer (F16)
|
100% |
4714
6.20 IPS |
|
|
Style Transfer (I8)
|
100% |
4888
6.43 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1160
41.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1134
40.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1012
36.1 IPS |
|
|
Text Classification (F32)
|
100% |
45
64.2 IPS |
|
|
Text Classification (F16)
|
100% |
114
163.4 IPS |
|
|
Text Classification (I8)
|
96% |
113
162.4 IPS |
|
|
Machine Translation (F32)
|
100% |
198
3.64 IPS |
|
|
Machine Translation (F16)
|
100% |
164
3.02 IPS |
|
|
Machine Translation (I8)
|
99% |
198
3.64 IPS |
