iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1072
Single Precision Score
1633
Half Precision Score
1410
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 31 2026 08:12 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
795
147.9 IPS |
|
|
Image Classification (Q)
|
96% |
623
116.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
610
9.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
961
15.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1016
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2566
2.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2353
2.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
2153
2.52 IPS |
|
|
Object Detection (SP)
|
100% |
544
43.2 IPS |
|
|
Object Detection (HP)
|
99% |
948
75.2 IPS |
|
|
Object Detection (Q)
|
92% |
763
60.9 IPS |
|
|
Face Detection (SP)
|
100% |
1271
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2343
27.8 IPS |
|
|
Face Detection (Q)
|
100% |
1484
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1766
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2676
20.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
2240
17.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5032
6.47 IPS |
|
|
Style Transfer (HP)
|
100% |
7886
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7053
9.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1291
47.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1440
53.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1188
43.9 IPS |
|
|
Text Classification (SP)
|
100% |
461
614.9 IPS |
|
|
Text Classification (HP)
|
99% |
870
1.16 KIPS |
|
|
Text Classification (Q)
|
93% |
861
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1278
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1249
21.6 IPS |
