iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1259
Single Precision Score
1541
Half Precision Score
424
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 25 2026 08:33 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
966
179.7 IPS |
|
|
Image Classification (HP)
|
100% |
1230
228.8 IPS |
|
|
Image Classification (Q)
|
96% |
172
32.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
352
5.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
384
6.23 IPS |
|
|
Image Segmentation (Q)
|
99% |
236
3.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
3180
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4594
5.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1891
2.21 IPS |
|
|
Object Detection (SP)
|
100% |
1012
80.3 IPS |
|
|
Object Detection (HP)
|
100% |
1292
102.5 IPS |
|
|
Object Detection (Q)
|
92% |
198
15.8 IPS |
|
|
Face Detection (SP)
|
100% |
3914
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
4499
53.5 IPS |
|
|
Face Detection (Q)
|
100% |
309
3.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
3173
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4708
36.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
576
4.50 IPS |
|
|
Style Transfer (SP)
|
100% |
8877
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10848
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
3177
4.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1546
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2229
82.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
422
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
100
132.8 IPS |
|
|
Text Classification (HP)
|
100% |
108
143.6 IPS |
|
|
Text Classification (Q)
|
93% |
108
144.8 IPS |
|
|
Machine Translation (SP)
|
100% |
540
9.29 IPS |
|
|
Machine Translation (HP)
|
100% |
487
8.40 IPS |
|
|
Machine Translation (Q)
|
98% |
483
8.34 IPS |
