iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1263
Single Precision Score
1548
Half Precision Score
424
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 07 2025 02:57 AM |
| Views | 3 |
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% |
1028
191.2 IPS |
|
|
Image Classification (HP)
|
100% |
1381
256.8 IPS |
|
|
Image Classification (Q)
|
96% |
173
32.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
359
5.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
381
6.18 IPS |
|
|
Image Segmentation (Q)
|
99% |
234
3.80 IPS |
|
|
Pose Estimation (SP)
|
100% |
3190
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4604
5.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
1912
2.24 IPS |
|
|
Object Detection (SP)
|
100% |
998
79.1 IPS |
|
|
Object Detection (HP)
|
100% |
1321
104.8 IPS |
|
|
Object Detection (Q)
|
92% |
198
15.8 IPS |
|
|
Face Detection (SP)
|
100% |
3702
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
4339
51.6 IPS |
|
|
Face Detection (Q)
|
100% |
307
3.65 IPS |
|
|
Depth Estimation (SP)
|
100% |
3139
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4658
35.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
579
4.52 IPS |
|
|
Style Transfer (SP)
|
100% |
8884
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10854
14.0 IPS |
|
|
Style Transfer (Q)
|
96% |
3173
4.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1529
56.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2237
82.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
421
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
104
138.8 IPS |
|
|
Text Classification (HP)
|
100% |
105
140.8 IPS |
|
|
Text Classification (Q)
|
93% |
107
143.6 IPS |
|
|
Machine Translation (SP)
|
100% |
536
9.22 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.27 IPS |
|
|
Machine Translation (Q)
|
98% |
485
8.38 IPS |
