iPad Pro 11-inch (2nd generation)
Geekbench AI Score
799
Single Precision Score
2511
Half Precision Score
469
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 03 2026 02:00 PM |
| Views | 10 |
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% |
390
72.5 IPS |
|
|
Image Classification (HP)
|
100% |
2217
412.4 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
317
5.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
389
6.30 IPS |
|
|
Image Segmentation (Q)
|
99% |
241
3.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
2618
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
27276
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1748
2.05 IPS |
|
|
Object Detection (SP)
|
100% |
452
35.8 IPS |
|
|
Object Detection (HP)
|
100% |
1638
129.9 IPS |
|
|
Object Detection (Q)
|
94% |
203
16.2 IPS |
|
|
Face Detection (SP)
|
100% |
994
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
6652
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
312
3.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
1203
9.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
23396
180.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
670
5.23 IPS |
|
|
Style Transfer (SP)
|
100% |
3877
4.98 IPS |
|
|
Style Transfer (HP)
|
100% |
3837
4.93 IPS |
|
|
Style Transfer (Q)
|
96% |
2690
3.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1122
41.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3239
119.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
476
17.6 IPS |
|
|
Text Classification (SP)
|
100% |
258
344.6 IPS |
|
|
Text Classification (HP)
|
100% |
298
397.3 IPS |
|
|
Text Classification (Q)
|
93% |
298
399.6 IPS |
|
|
Machine Translation (SP)
|
100% |
544
9.37 IPS |
|
|
Machine Translation (HP)
|
100% |
449
7.74 IPS |
|
|
Machine Translation (Q)
|
98% |
447
7.73 IPS |
