iPad Pro (12.9-inch)
Geekbench ML Score
605
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 11 2025 10:23 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| Model | iPad Pro (12.9-inch) |
| Model ID | iPad6,7 |
| Motherboard | J98aAP |
| 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 | 3.90 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
228
42.7 IPS |
|
|
Image Classification (F16)
|
100% |
221
41.3 IPS |
|
|
Image Classification (I8)
|
99% |
285
53.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
189
3.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
183
3.05 IPS |
|
|
Image Segmentation (I8)
|
100% |
182
3.05 IPS |
|
|
Pose Estimation (F32)
|
100% |
1991
2.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
1963
2.38 IPS |
|
|
Pose Estimation (I8)
|
100% |
1960
2.37 IPS |
|
|
Object Detection (F32)
|
100% |
343
25.6 IPS |
|
|
Object Detection (F16)
|
100% |
341
25.5 IPS |
|
|
Object Detection (I8)
|
97% |
348
26.0 IPS |
|
|
Face Detection (F32)
|
100% |
1362
16.2 IPS |
|
|
Face Detection (F16)
|
100% |
1314
15.6 IPS |
|
|
Face Detection (I8)
|
99% |
1330
15.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2120
16.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2077
16.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
2162
16.8 IPS |
|
|
Style Transfer (F32)
|
100% |
4713
6.20 IPS |
|
|
Style Transfer (F16)
|
100% |
4724
6.21 IPS |
|
|
Style Transfer (I8)
|
100% |
4705
6.19 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1156
41.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1003
35.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1097
39.2 IPS |
|
|
Text Classification (F32)
|
100% |
43
61.7 IPS |
|
|
Text Classification (F16)
|
100% |
101
144.9 IPS |
|
|
Text Classification (I8)
|
96% |
100
144.2 IPS |
|
|
Machine Translation (F32)
|
100% |
208
3.83 IPS |
|
|
Machine Translation (F16)
|
100% |
177
3.25 IPS |
|
|
Machine Translation (I8)
|
99% |
212
3.91 IPS |
