iPad Pro 11-inch (2nd generation)
Geekbench AI Score
799
Single Precision Score
2501
Half Precision Score
468
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 18 2025 03:36 AM |
| Views | 12 |
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% |
400
74.4 IPS |
|
|
Image Classification (HP)
|
100% |
2160
401.7 IPS |
|
|
Image Classification (Q)
|
99% |
168
31.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
382
6.20 IPS |
|
|
Image Segmentation (Q)
|
99% |
242
3.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
2620
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
27225
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1743
2.04 IPS |
|
|
Object Detection (SP)
|
100% |
450
35.7 IPS |
|
|
Object Detection (HP)
|
100% |
1637
129.8 IPS |
|
|
Object Detection (Q)
|
94% |
204
16.3 IPS |
|
|
Face Detection (SP)
|
100% |
995
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
6685
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
312
3.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
1204
9.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
23387
180.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
668
5.22 IPS |
|
|
Style Transfer (SP)
|
100% |
3854
4.95 IPS |
|
|
Style Transfer (HP)
|
100% |
3836
4.93 IPS |
|
|
Style Transfer (Q)
|
96% |
2696
3.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1111
41.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3262
120.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
475
17.5 IPS |
|
|
Text Classification (SP)
|
100% |
261
348.9 IPS |
|
|
Text Classification (HP)
|
100% |
297
396.7 IPS |
|
|
Text Classification (Q)
|
93% |
297
398.3 IPS |
|
|
Machine Translation (SP)
|
100% |
543
9.36 IPS |
|
|
Machine Translation (HP)
|
100% |
449
7.73 IPS |
|
|
Machine Translation (Q)
|
98% |
447
7.73 IPS |
