iPad Pro 11-inch (2nd generation)
Geekbench AI Score
799
Single Precision Score
2509
Half Precision Score
469
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 07 2026 09:29 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
401
74.5 IPS |
|
|
Image Classification (HP)
|
100% |
2209
410.9 IPS |
|
|
Image Classification (Q)
|
99% |
167
31.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
311
5.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
384
6.23 IPS |
|
|
Image Segmentation (Q)
|
99% |
242
3.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
2619
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
27257
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1744
2.04 IPS |
|
|
Object Detection (SP)
|
100% |
451
35.7 IPS |
|
|
Object Detection (HP)
|
100% |
1699
134.8 IPS |
|
|
Object Detection (Q)
|
94% |
212
16.9 IPS |
|
|
Face Detection (SP)
|
100% |
992
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
6707
79.7 IPS |
|
|
Face Detection (Q)
|
100% |
312
3.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
1207
9.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
22946
176.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
669
5.22 IPS |
|
|
Style Transfer (SP)
|
100% |
3834
4.93 IPS |
|
|
Style Transfer (HP)
|
100% |
3807
4.89 IPS |
|
|
Style Transfer (Q)
|
96% |
2660
3.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1113
41.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3237
119.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
471
17.4 IPS |
|
|
Text Classification (SP)
|
100% |
260
347.5 IPS |
|
|
Text Classification (HP)
|
100% |
297
396.2 IPS |
|
|
Text Classification (Q)
|
93% |
298
400.1 IPS |
|
|
Machine Translation (SP)
|
100% |
543
9.35 IPS |
|
|
Machine Translation (HP)
|
100% |
448
7.72 IPS |
|
|
Machine Translation (Q)
|
98% |
447
7.73 IPS |
