iPad Pro (9.7-inch)
Geekbench ML Score
576
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 18 2025 01:08 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
270
50.5 IPS |
|
|
Image Classification (F16)
|
100% |
220
41.2 IPS |
|
|
Image Classification (I8)
|
99% |
253
47.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
144
2.40 IPS |
|
|
Image Segmentation (F16)
|
100% |
161
2.69 IPS |
|
|
Image Segmentation (I8)
|
100% |
162
2.70 IPS |
|
|
Pose Estimation (F32)
|
100% |
2067
2.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
2006
2.43 IPS |
|
|
Pose Estimation (I8)
|
100% |
1990
2.41 IPS |
|
|
Object Detection (F32)
|
100% |
393
29.3 IPS |
|
|
Object Detection (F16)
|
100% |
364
27.2 IPS |
|
|
Object Detection (I8)
|
97% |
387
28.9 IPS |
|
|
Face Detection (F32)
|
100% |
1137
13.5 IPS |
|
|
Face Detection (F16)
|
100% |
1112
13.2 IPS |
|
|
Face Detection (I8)
|
99% |
1138
13.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2236
17.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2254
17.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
2230
17.3 IPS |
|
|
Style Transfer (F32)
|
100% |
5224
6.87 IPS |
|
|
Style Transfer (F16)
|
100% |
5130
6.75 IPS |
|
|
Style Transfer (I8)
|
100% |
4987
6.56 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1118
39.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1043
37.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1072
38.3 IPS |
|
|
Text Classification (F32)
|
100% |
51
72.7 IPS |
|
|
Text Classification (F16)
|
100% |
97
139.2 IPS |
|
|
Text Classification (I8)
|
96% |
97
140.1 IPS |
|
|
Machine Translation (F32)
|
100% |
133
2.45 IPS |
|
|
Machine Translation (F16)
|
100% |
108
1.99 IPS |
|
|
Machine Translation (I8)
|
99% |
137
2.53 IPS |
