iPad Pro (12.9-inch)
Geekbench ML Score
609
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 10 2025 06:23 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| Model | iPad Pro (12.9-inch) |
| Model ID | iPad6,8 |
| Motherboard | J99aAP |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
325
60.9 IPS |
|
|
Image Classification (F16)
|
100% |
261
48.8 IPS |
|
|
Image Classification (I8)
|
99% |
251
46.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.15 IPS |
|
|
Image Segmentation (F16)
|
100% |
186
3.11 IPS |
|
|
Image Segmentation (I8)
|
100% |
186
3.10 IPS |
|
|
Pose Estimation (F32)
|
100% |
2005
2.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
1992
2.41 IPS |
|
|
Pose Estimation (I8)
|
100% |
1983
2.40 IPS |
|
|
Object Detection (F32)
|
100% |
312
23.3 IPS |
|
|
Object Detection (F16)
|
100% |
278
20.8 IPS |
|
|
Object Detection (I8)
|
97% |
324
24.2 IPS |
|
|
Face Detection (F32)
|
100% |
1365
16.2 IPS |
|
|
Face Detection (F16)
|
100% |
1340
15.9 IPS |
|
|
Face Detection (I8)
|
99% |
1325
15.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2105
16.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2114
16.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
2215
17.2 IPS |
|
|
Style Transfer (F32)
|
100% |
4905
6.45 IPS |
|
|
Style Transfer (F16)
|
100% |
4574
6.02 IPS |
|
|
Style Transfer (I8)
|
100% |
4684
6.16 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1026
36.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1101
39.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1025
36.6 IPS |
|
|
Text Classification (F32)
|
100% |
45
64.2 IPS |
|
|
Text Classification (F16)
|
100% |
101
144.9 IPS |
|
|
Text Classification (I8)
|
96% |
116
166.5 IPS |
|
|
Machine Translation (F32)
|
100% |
208
3.82 IPS |
|
|
Machine Translation (F16)
|
100% |
176
3.25 IPS |
|
|
Machine Translation (I8)
|
99% |
209
3.85 IPS |
