iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1028
Single Precision Score
1554
Half Precision Score
1347
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 16 2025 02:45 PM |
| Views | 10 |
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% |
484
90.1 IPS |
|
|
Image Classification (HP)
|
100% |
794
147.6 IPS |
|
|
Image Classification (Q)
|
96% |
624
116.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
609
9.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
959
15.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1012
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2660
3.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
2300
2.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
2092
2.45 IPS |
|
|
Object Detection (SP)
|
100% |
549
43.5 IPS |
|
|
Object Detection (HP)
|
99% |
947
75.1 IPS |
|
|
Object Detection (Q)
|
92% |
759
60.6 IPS |
|
|
Face Detection (SP)
|
100% |
1260
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2346
27.9 IPS |
|
|
Face Detection (Q)
|
100% |
1482
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1765
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2672
20.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
2236
17.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5122
6.58 IPS |
|
|
Style Transfer (HP)
|
100% |
7885
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7082
9.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1289
47.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1435
53.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1191
44.0 IPS |
|
|
Text Classification (SP)
|
100% |
290
386.6 IPS |
|
|
Text Classification (HP)
|
100% |
556
742.3 IPS |
|
|
Text Classification (Q)
|
93% |
557
747.8 IPS |
|
|
Machine Translation (SP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1259
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1260
21.8 IPS |
