iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1255
Single Precision Score
1521
Half Precision Score
422
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 07 2026 09:23 AM |
| Views | 5 |
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% |
998
185.7 IPS |
|
|
Image Classification (HP)
|
100% |
1250
232.4 IPS |
|
|
Image Classification (Q)
|
96% |
171
32.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
356
5.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
377
6.12 IPS |
|
|
Image Segmentation (Q)
|
99% |
234
3.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
3174
3.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
4592
5.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1897
2.22 IPS |
|
|
Object Detection (SP)
|
100% |
997
79.0 IPS |
|
|
Object Detection (HP)
|
100% |
1293
102.6 IPS |
|
|
Object Detection (Q)
|
92% |
199
15.9 IPS |
|
|
Face Detection (SP)
|
100% |
3694
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
4214
50.1 IPS |
|
|
Face Detection (Q)
|
100% |
316
3.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
3147
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4585
35.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
576
4.50 IPS |
|
|
Style Transfer (SP)
|
100% |
8838
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10718
13.8 IPS |
|
|
Style Transfer (Q)
|
96% |
3141
4.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1552
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2246
82.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
423
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
101
134.1 IPS |
|
|
Text Classification (HP)
|
100% |
106
142.1 IPS |
|
|
Text Classification (Q)
|
93% |
103
138.3 IPS |
|
|
Machine Translation (SP)
|
100% |
538
9.27 IPS |
|
|
Machine Translation (HP)
|
100% |
482
8.31 IPS |
|
|
Machine Translation (Q)
|
98% |
482
8.33 IPS |
