iPad Pro (9.7-inch)
Geekbench ML Score
255
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 30 2025 01:51 PM |
| Views | 10 |
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 |
| 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% |
123
23.0 IPS |
|
|
Image Classification (F16)
|
100% |
109
20.4 IPS |
|
|
Image Classification (I8)
|
99% |
118
22.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
110
1.83 IPS |
|
|
Image Segmentation (F16)
|
100% |
114
1.90 IPS |
|
|
Image Segmentation (I8)
|
100% |
115
1.92 IPS |
|
|
Pose Estimation (F32)
|
100% |
813
0.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
800
0.97 IPS |
|
|
Pose Estimation (I8)
|
100% |
790
0.96 IPS |
|
|
Object Detection (F32)
|
100% |
148
11.0 IPS |
|
|
Object Detection (F16)
|
100% |
132
9.85 IPS |
|
|
Object Detection (I8)
|
97% |
150
11.2 IPS |
|
|
Face Detection (F32)
|
100% |
286
3.40 IPS |
|
|
Face Detection (F16)
|
100% |
282
3.35 IPS |
|
|
Face Detection (I8)
|
99% |
281
3.34 IPS |
|
|
Depth Estimation (F32)
|
100% |
389
3.02 IPS |
|
|
Depth Estimation (F16)
|
100% |
367
2.85 IPS |
|
|
Depth Estimation (I8)
|
99% |
355
2.75 IPS |
|
|
Style Transfer (F32)
|
100% |
1238
1.63 IPS |
|
|
Style Transfer (F16)
|
100% |
1274
1.68 IPS |
|
|
Style Transfer (I8)
|
100% |
1272
1.67 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
351
12.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
345
12.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
347
12.4 IPS |
|
|
Text Classification (F32)
|
100% |
137
196.6 IPS |
|
|
Text Classification (F16)
|
100% |
121
174.1 IPS |
|
|
Text Classification (I8)
|
96% |
129
185.2 IPS |
|
|
Machine Translation (F32)
|
100% |
142
2.61 IPS |
|
|
Machine Translation (F16)
|
100% |
121
2.23 IPS |
|
|
Machine Translation (I8)
|
99% |
139
2.55 IPS |
