iPad Pro 11-inch (2nd generation)
Geekbench AI Score
800
Single Precision Score
2496
Half Precision Score
464
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 27 2025 03:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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
74.6 IPS |
|
|
Image Classification (HP)
|
100% |
2192
407.7 IPS |
|
|
Image Classification (Q)
|
99% |
167
31.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
311
5.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
382
6.19 IPS |
|
|
Image Segmentation (Q)
|
99% |
241
3.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
2620
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
27221
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1743
2.04 IPS |
|
|
Object Detection (SP)
|
100% |
452
35.9 IPS |
|
|
Object Detection (HP)
|
100% |
1620
128.5 IPS |
|
|
Object Detection (Q)
|
94% |
204
16.3 IPS |
|
|
Face Detection (SP)
|
100% |
993
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
6671
79.3 IPS |
|
|
Face Detection (Q)
|
100% |
312
3.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
1203
9.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
23085
177.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
678
5.29 IPS |
|
|
Style Transfer (SP)
|
100% |
3842
4.94 IPS |
|
|
Style Transfer (HP)
|
100% |
3818
4.91 IPS |
|
|
Style Transfer (Q)
|
96% |
2395
3.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1134
41.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3238
119.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
486
18.0 IPS |
|
|
Text Classification (SP)
|
100% |
259
345.1 IPS |
|
|
Text Classification (HP)
|
100% |
298
397.2 IPS |
|
|
Text Classification (Q)
|
93% |
296
397.2 IPS |
|
|
Machine Translation (SP)
|
100% |
544
9.38 IPS |
|
|
Machine Translation (HP)
|
100% |
448
7.72 IPS |
|
|
Machine Translation (Q)
|
98% |
447
7.73 IPS |
