iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1265
Single Precision Score
1548
Half Precision Score
425
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 01:32 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
976
181.5 IPS |
|
|
Image Classification (HP)
|
100% |
1253
233.1 IPS |
|
|
Image Classification (Q)
|
96% |
172
32.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
363
5.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
390
6.32 IPS |
|
|
Image Segmentation (Q)
|
99% |
235
3.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
3178
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4612
5.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
1901
2.23 IPS |
|
|
Object Detection (SP)
|
100% |
1008
79.9 IPS |
|
|
Object Detection (HP)
|
100% |
1320
104.7 IPS |
|
|
Object Detection (Q)
|
92% |
199
15.9 IPS |
|
|
Face Detection (SP)
|
100% |
3881
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
4504
53.5 IPS |
|
|
Face Detection (Q)
|
100% |
308
3.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
3164
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4692
36.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
579
4.52 IPS |
|
|
Style Transfer (SP)
|
100% |
8842
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10917
14.0 IPS |
|
|
Style Transfer (Q)
|
96% |
3193
4.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1553
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2245
82.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
423
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
102
136.6 IPS |
|
|
Text Classification (HP)
|
100% |
105
140.7 IPS |
|
|
Text Classification (Q)
|
93% |
108
144.4 IPS |
|
|
Machine Translation (SP)
|
100% |
539
9.29 IPS |
|
|
Machine Translation (HP)
|
100% |
491
8.46 IPS |
|
|
Machine Translation (Q)
|
98% |
493
8.51 IPS |
