iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1024
Single Precision Score
1548
Half Precision Score
1341
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 07 2026 09:18 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
490
91.1 IPS |
|
|
Image Classification (HP)
|
100% |
800
148.7 IPS |
|
|
Image Classification (Q)
|
96% |
628
117.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
609
9.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
954
15.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1024
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2651
3.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
2325
2.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
2070
2.43 IPS |
|
|
Object Detection (SP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (HP)
|
99% |
943
74.8 IPS |
|
|
Object Detection (Q)
|
92% |
754
60.2 IPS |
|
|
Face Detection (SP)
|
100% |
1258
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
2325
27.6 IPS |
|
|
Face Detection (Q)
|
100% |
1480
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1730
13.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2659
20.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
2226
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5109
6.57 IPS |
|
|
Style Transfer (HP)
|
100% |
7843
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7079
9.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1275
47.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1390
51.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1165
43.0 IPS |
|
|
Text Classification (SP)
|
100% |
290
386.8 IPS |
|
|
Text Classification (HP)
|
100% |
557
744.0 IPS |
|
|
Text Classification (Q)
|
93% |
553
741.8 IPS |
|
|
Machine Translation (SP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1261
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1251
21.6 IPS |
