iPad Pro 11-inch (2nd generation)
Geekbench AI Score
982
Single Precision Score
1526
Half Precision Score
1326
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 19 2025 06:46 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
487
90.6 IPS |
|
|
Image Classification (HP)
|
100% |
791
147.1 IPS |
|
|
Image Classification (Q)
|
96% |
630
117.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
597
9.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
954
15.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1018
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2488
2.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2206
2.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
1990
2.33 IPS |
|
|
Object Detection (SP)
|
100% |
542
43.0 IPS |
|
|
Object Detection (HP)
|
99% |
954
75.7 IPS |
|
|
Object Detection (Q)
|
92% |
761
60.7 IPS |
|
|
Face Detection (SP)
|
100% |
1228
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
2321
27.6 IPS |
|
|
Face Detection (Q)
|
100% |
1502
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1631
12.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2672
20.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
2220
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4064
5.22 IPS |
|
|
Style Transfer (HP)
|
100% |
7022
9.03 IPS |
|
|
Style Transfer (Q)
|
96% |
6322
8.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1242
45.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1411
52.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1176
43.4 IPS |
|
|
Text Classification (SP)
|
100% |
291
388.1 IPS |
|
|
Text Classification (HP)
|
100% |
557
743.3 IPS |
|
|
Text Classification (Q)
|
93% |
556
745.8 IPS |
|
|
Machine Translation (SP)
|
100% |
727
12.5 IPS |
|
|
Machine Translation (HP)
|
99% |
1261
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1262
21.8 IPS |
