iPad Pro (9.7-inch)
Geekbench ML Score
271
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 11 2025 04:49 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| 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% |
140
26.1 IPS |
|
|
Image Classification (F16)
|
100% |
123
23.0 IPS |
|
|
Image Classification (I8)
|
99% |
123
23.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
118
1.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
118
1.97 IPS |
|
|
Image Segmentation (I8)
|
100% |
118
1.97 IPS |
|
|
Pose Estimation (F32)
|
100% |
819
0.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
817
0.99 IPS |
|
|
Pose Estimation (I8)
|
100% |
824
1.00 IPS |
|
|
Object Detection (F32)
|
100% |
153
11.4 IPS |
|
|
Object Detection (F16)
|
100% |
137
10.2 IPS |
|
|
Object Detection (I8)
|
97% |
152
11.4 IPS |
|
|
Face Detection (F32)
|
100% |
289
3.43 IPS |
|
|
Face Detection (F16)
|
100% |
286
3.40 IPS |
|
|
Face Detection (I8)
|
99% |
286
3.40 IPS |
|
|
Depth Estimation (F32)
|
100% |
399
3.09 IPS |
|
|
Depth Estimation (F16)
|
100% |
369
2.86 IPS |
|
|
Depth Estimation (I8)
|
99% |
368
2.85 IPS |
|
|
Style Transfer (F32)
|
100% |
1294
1.70 IPS |
|
|
Style Transfer (F16)
|
100% |
1295
1.70 IPS |
|
|
Style Transfer (I8)
|
100% |
1298
1.71 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
355
12.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
352
12.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
350
12.5 IPS |
|
|
Text Classification (F32)
|
100% |
136
195.6 IPS |
|
|
Text Classification (F16)
|
100% |
116
167.0 IPS |
|
|
Text Classification (I8)
|
96% |
114
163.3 IPS |
|
|
Machine Translation (F32)
|
100% |
206
3.79 IPS |
|
|
Machine Translation (F16)
|
100% |
174
3.20 IPS |
|
|
Machine Translation (I8)
|
99% |
207
3.80 IPS |
