iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1263
Single Precision Score
1555
Half Precision Score
424
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 03 2026 01:55 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
982
182.6 IPS |
|
|
Image Classification (HP)
|
100% |
1294
240.7 IPS |
|
|
Image Classification (Q)
|
96% |
176
32.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
363
5.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
381
6.18 IPS |
|
|
Image Segmentation (Q)
|
99% |
236
3.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
3180
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4603
5.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
1912
2.24 IPS |
|
|
Object Detection (SP)
|
100% |
1009
80.1 IPS |
|
|
Object Detection (HP)
|
100% |
1316
104.4 IPS |
|
|
Object Detection (Q)
|
92% |
198
15.8 IPS |
|
|
Face Detection (SP)
|
100% |
3854
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
4481
53.2 IPS |
|
|
Face Detection (Q)
|
100% |
312
3.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
3160
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4743
36.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
574
4.48 IPS |
|
|
Style Transfer (SP)
|
100% |
8847
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10842
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
3170
4.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1563
57.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2260
83.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
423
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
100
133.4 IPS |
|
|
Text Classification (HP)
|
100% |
108
144.0 IPS |
|
|
Text Classification (Q)
|
93% |
100
134.5 IPS |
|
|
Machine Translation (SP)
|
100% |
540
9.30 IPS |
|
|
Machine Translation (HP)
|
100% |
494
8.50 IPS |
|
|
Machine Translation (Q)
|
98% |
500
8.63 IPS |
