iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1256
Single Precision Score
1536
Half Precision Score
425
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 12 2025 03:10 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1013
188.3 IPS |
|
|
Image Classification (HP)
|
100% |
1339
249.1 IPS |
|
|
Image Classification (Q)
|
96% |
172
32.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
355
5.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
377
6.11 IPS |
|
|
Image Segmentation (Q)
|
99% |
234
3.80 IPS |
|
|
Pose Estimation (SP)
|
100% |
3187
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4598
5.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
1916
2.24 IPS |
|
|
Object Detection (SP)
|
100% |
984
78.0 IPS |
|
|
Object Detection (HP)
|
100% |
1290
102.3 IPS |
|
|
Object Detection (Q)
|
92% |
198
15.8 IPS |
|
|
Face Detection (SP)
|
100% |
3722
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
4404
52.3 IPS |
|
|
Face Detection (Q)
|
100% |
313
3.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
3160
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4649
35.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
575
4.49 IPS |
|
|
Style Transfer (SP)
|
100% |
8918
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10840
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
3195
4.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1546
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2236
82.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
424
15.7 IPS |
|
|
Text Classification (SP)
|
100% |
100
133.0 IPS |
|
|
Text Classification (HP)
|
100% |
103
137.5 IPS |
|
|
Text Classification (Q)
|
93% |
109
146.3 IPS |
|
|
Machine Translation (SP)
|
100% |
537
9.25 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.26 IPS |
|
|
Machine Translation (Q)
|
98% |
481
8.32 IPS |
