iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1025
Single Precision Score
1556
Half Precision Score
1340
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 09 2025 12:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
486
90.4 IPS |
|
|
Image Classification (HP)
|
100% |
796
148.0 IPS |
|
|
Image Classification (Q)
|
96% |
627
117.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
611
9.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
963
15.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1014
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2643
3.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
2330
2.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
2017
2.36 IPS |
|
|
Object Detection (SP)
|
100% |
540
42.8 IPS |
|
|
Object Detection (HP)
|
99% |
943
74.8 IPS |
|
|
Object Detection (Q)
|
92% |
762
60.8 IPS |
|
|
Face Detection (SP)
|
100% |
1261
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2336
27.8 IPS |
|
|
Face Detection (Q)
|
100% |
1480
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1765
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2687
20.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
2218
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5138
6.61 IPS |
|
|
Style Transfer (HP)
|
100% |
7861
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7078
9.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1272
47.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1421
52.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1179
43.5 IPS |
|
|
Text Classification (SP)
|
100% |
289
386.2 IPS |
|
|
Text Classification (HP)
|
100% |
556
742.5 IPS |
|
|
Text Classification (Q)
|
93% |
554
743.6 IPS |
|
|
Machine Translation (SP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1271
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1266
21.9 IPS |
