iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1259
Single Precision Score
1559
Half Precision Score
422
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 11 2025 03:10 AM |
| Views | 2 |
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% |
968
180.0 IPS |
|
|
Image Classification (HP)
|
100% |
1326
246.5 IPS |
|
|
Image Classification (Q)
|
96% |
170
31.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
352
5.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
381
6.17 IPS |
|
|
Image Segmentation (Q)
|
99% |
234
3.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
3185
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4606
5.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
1877
2.20 IPS |
|
|
Object Detection (SP)
|
100% |
1016
80.6 IPS |
|
|
Object Detection (HP)
|
100% |
1331
105.5 IPS |
|
|
Object Detection (Q)
|
92% |
198
15.8 IPS |
|
|
Face Detection (SP)
|
100% |
3851
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
4509
53.6 IPS |
|
|
Face Detection (Q)
|
100% |
309
3.67 IPS |
|
|
Depth Estimation (SP)
|
100% |
3166
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4773
36.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
578
4.51 IPS |
|
|
Style Transfer (SP)
|
100% |
8892
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10833
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
3179
4.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1555
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2238
82.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
423
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
101
135.2 IPS |
|
|
Text Classification (HP)
|
100% |
108
144.8 IPS |
|
|
Text Classification (Q)
|
93% |
105
140.8 IPS |
|
|
Machine Translation (SP)
|
100% |
535
9.22 IPS |
|
|
Machine Translation (HP)
|
100% |
486
8.37 IPS |
|
|
Machine Translation (Q)
|
98% |
482
8.33 IPS |
