iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1356
Single Precision Score
1682
Half Precision Score
441
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 03:23 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
996
185.3 IPS |
|
|
Image Classification (HP)
|
100% |
1345
250.2 IPS |
|
|
Image Classification (Q)
|
96% |
153
28.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
358
5.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
383
6.21 IPS |
|
|
Image Segmentation (Q)
|
99% |
224
3.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
3189
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4604
5.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
1807
2.12 IPS |
|
|
Object Detection (SP)
|
100% |
1008
79.9 IPS |
|
|
Object Detection (HP)
|
100% |
1317
104.5 IPS |
|
|
Object Detection (Q)
|
92% |
178
14.2 IPS |
|
|
Face Detection (SP)
|
100% |
3673
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
4180
49.7 IPS |
|
|
Face Detection (Q)
|
100% |
295
3.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
3159
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4652
35.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
551
4.31 IPS |
|
|
Style Transfer (SP)
|
100% |
8875
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10821
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
3119
4.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1540
56.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2236
82.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
398
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
217
289.0 IPS |
|
|
Text Classification (HP)
|
100% |
258
343.9 IPS |
|
|
Text Classification (Q)
|
93% |
260
348.9 IPS |
|
|
Machine Translation (SP)
|
100% |
536
9.24 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.27 IPS |
|
|
Machine Translation (Q)
|
98% |
492
8.50 IPS |
