iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1267
Single Precision Score
1538
Half Precision Score
422
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 13 2026 01:38 PM |
| Views | 3 |
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% |
1009
187.6 IPS |
|
|
Image Classification (HP)
|
100% |
1278
237.6 IPS |
|
|
Image Classification (Q)
|
96% |
171
31.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
366
5.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
382
6.18 IPS |
|
|
Image Segmentation (Q)
|
99% |
235
3.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
3183
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4590
5.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1895
2.22 IPS |
|
|
Object Detection (SP)
|
100% |
1001
79.4 IPS |
|
|
Object Detection (HP)
|
100% |
1285
101.9 IPS |
|
|
Object Detection (Q)
|
92% |
199
15.9 IPS |
|
|
Face Detection (SP)
|
100% |
3725
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
4252
50.5 IPS |
|
|
Face Detection (Q)
|
100% |
308
3.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
3160
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4589
35.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
579
4.52 IPS |
|
|
Style Transfer (SP)
|
100% |
8865
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10830
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
3157
4.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1563
57.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2231
82.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
422
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
103
138.0 IPS |
|
|
Text Classification (HP)
|
100% |
111
148.4 IPS |
|
|
Text Classification (Q)
|
93% |
102
137.0 IPS |
|
|
Machine Translation (SP)
|
100% |
540
9.30 IPS |
|
|
Machine Translation (HP)
|
100% |
494
8.52 IPS |
|
|
Machine Translation (Q)
|
98% |
498
8.60 IPS |
