iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1026
Single Precision Score
1552
Half Precision Score
1340
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 07 2025 02:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
493
91.7 IPS |
|
|
Image Classification (HP)
|
100% |
789
146.8 IPS |
|
|
Image Classification (Q)
|
96% |
617
115.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
609
9.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
971
15.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1013
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2649
3.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
2367
2.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
2123
2.49 IPS |
|
|
Object Detection (SP)
|
100% |
544
43.1 IPS |
|
|
Object Detection (HP)
|
99% |
946
75.1 IPS |
|
|
Object Detection (Q)
|
92% |
756
60.3 IPS |
|
|
Face Detection (SP)
|
100% |
1268
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2338
27.8 IPS |
|
|
Face Detection (Q)
|
100% |
1479
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1770
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2670
20.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
2205
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5131
6.60 IPS |
|
|
Style Transfer (HP)
|
100% |
7860
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7064
9.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1260
46.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1385
51.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1166
43.1 IPS |
|
|
Text Classification (SP)
|
100% |
289
385.6 IPS |
|
|
Text Classification (HP)
|
100% |
553
738.5 IPS |
|
|
Text Classification (Q)
|
93% |
553
742.0 IPS |
|
|
Machine Translation (SP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1265
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1260
21.8 IPS |
