iPad Pro 11-inch (2nd generation)
Geekbench AI Score
620
Single Precision Score
2230
Half Precision Score
182
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 27 2025 01:55 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro 11-inch (2nd generation) |
| Model ID | iPad8,10 |
| Motherboard | J418AP |
| CPU Information | |
|---|---|
| Name | Apple A12Z Bionic |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
318
59.1 IPS |
|
|
Image Classification (HP)
|
100% |
1916
356.4 IPS |
|
|
Image Classification (Q)
|
99% |
150
28.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
214
3.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
379
6.14 IPS |
|
|
Image Segmentation (Q)
|
99% |
193
3.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
1806
2.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
25901
30.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
1154
1.35 IPS |
|
|
Object Detection (SP)
|
100% |
350
27.8 IPS |
|
|
Object Detection (HP)
|
100% |
1061
84.2 IPS |
|
|
Object Detection (Q)
|
94% |
176
14.0 IPS |
|
|
Face Detection (SP)
|
100% |
782
9.29 IPS |
|
|
Face Detection (HP)
|
100% |
6407
76.1 IPS |
|
|
Face Detection (Q)
|
100% |
279
3.31 IPS |
|
|
Depth Estimation (SP)
|
100% |
772
5.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
24266
187.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
515
4.02 IPS |
|
|
Style Transfer (SP)
|
100% |
2713
3.49 IPS |
|
|
Style Transfer (HP)
|
100% |
2935
3.77 IPS |
|
|
Style Transfer (Q)
|
0
|
||
|
Image Super-Resolution (SP)
|
100% |
929
34.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3325
122.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
441
16.3 IPS |
|
|
Text Classification (SP)
|
100% |
270
360.0 IPS |
|
|
Text Classification (HP)
|
100% |
271
362.4 IPS |
|
|
Text Classification (Q)
|
93% |
298
399.4 IPS |
|
|
Machine Translation (SP)
|
100% |
478
8.24 IPS |
|
|
Machine Translation (HP)
|
100% |
372
6.41 IPS |
|
|
Machine Translation (Q)
|
98% |
372
6.43 IPS |
