iPad Pro (9.7-inch)
Geekbench ML Score
254
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 05 2026 02:16 PM |
| Views | 7 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
115
21.4 IPS |
|
|
Image Classification (F16)
|
100% |
114
21.4 IPS |
|
|
Image Classification (I8)
|
99% |
114
21.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
109
1.82 IPS |
|
|
Image Segmentation (F16)
|
100% |
108
1.81 IPS |
|
|
Image Segmentation (I8)
|
100% |
110
1.83 IPS |
|
|
Pose Estimation (F32)
|
100% |
777
0.94 IPS |
|
|
Pose Estimation (F16)
|
100% |
763
0.92 IPS |
|
|
Pose Estimation (I8)
|
100% |
738
0.89 IPS |
|
|
Object Detection (F32)
|
100% |
142
10.6 IPS |
|
|
Object Detection (F16)
|
100% |
127
9.46 IPS |
|
|
Object Detection (I8)
|
97% |
143
10.7 IPS |
|
|
Face Detection (F32)
|
100% |
272
3.23 IPS |
|
|
Face Detection (F16)
|
100% |
271
3.23 IPS |
|
|
Face Detection (I8)
|
99% |
278
3.31 IPS |
|
|
Depth Estimation (F32)
|
100% |
394
3.05 IPS |
|
|
Depth Estimation (F16)
|
100% |
364
2.82 IPS |
|
|
Depth Estimation (I8)
|
99% |
359
2.79 IPS |
|
|
Style Transfer (F32)
|
100% |
1222
1.61 IPS |
|
|
Style Transfer (F16)
|
100% |
1185
1.56 IPS |
|
|
Style Transfer (I8)
|
100% |
1185
1.56 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
339
12.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
339
12.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
346
12.4 IPS |
|
|
Text Classification (F32)
|
100% |
131
188.9 IPS |
|
|
Text Classification (F16)
|
100% |
113
163.1 IPS |
|
|
Text Classification (I8)
|
96% |
114
163.5 IPS |
|
|
Machine Translation (F32)
|
100% |
175
3.22 IPS |
|
|
Machine Translation (F16)
|
100% |
157
2.89 IPS |
|
|
Machine Translation (I8)
|
99% |
210
3.86 IPS |
