iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1259
Single Precision Score
1546
Half Precision Score
435
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | iantm |
| Upload Date | December 31 2025 07:28 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro 11-inch (2nd generation) |
| Model ID | iPad8,9 |
| Motherboard | J417AP |
| 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% |
1003
186.5 IPS |
|
|
Image Classification (HP)
|
100% |
1359
252.7 IPS |
|
|
Image Classification (Q)
|
96% |
177
33.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
368
5.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.28 IPS |
|
|
Image Segmentation (Q)
|
99% |
252
4.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
2940
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
4481
5.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
1932
2.26 IPS |
|
|
Object Detection (SP)
|
100% |
1005
79.8 IPS |
|
|
Object Detection (HP)
|
100% |
1311
104.0 IPS |
|
|
Object Detection (Q)
|
92% |
207
16.6 IPS |
|
|
Face Detection (SP)
|
100% |
3773
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
4317
51.3 IPS |
|
|
Face Detection (Q)
|
100% |
321
3.81 IPS |
|
|
Depth Estimation (SP)
|
100% |
3134
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4696
36.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
598
4.67 IPS |
|
|
Style Transfer (SP)
|
100% |
8914
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10882
14.0 IPS |
|
|
Style Transfer (Q)
|
96% |
3225
4.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1544
57.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2247
83.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
424
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
106
141.7 IPS |
|
|
Text Classification (HP)
|
100% |
105
140.0 IPS |
|
|
Text Classification (Q)
|
93% |
108
145.5 IPS |
|
|
Machine Translation (SP)
|
100% |
535
9.22 IPS |
|
|
Machine Translation (HP)
|
100% |
487
8.39 IPS |
|
|
Machine Translation (Q)
|
98% |
486
8.40 IPS |
