iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1019
Single Precision Score
1550
Half Precision Score
1336
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 03:18 AM |
| 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% |
485
90.2 IPS |
|
|
Image Classification (HP)
|
100% |
793
147.4 IPS |
|
|
Image Classification (Q)
|
96% |
622
116.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
610
9.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
957
15.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1007
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2596
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2309
2.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
2104
2.46 IPS |
|
|
Object Detection (SP)
|
100% |
543
43.0 IPS |
|
|
Object Detection (HP)
|
99% |
948
75.2 IPS |
|
|
Object Detection (Q)
|
92% |
756
60.3 IPS |
|
|
Face Detection (SP)
|
100% |
1258
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
2310
27.4 IPS |
|
|
Face Detection (Q)
|
100% |
1477
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1753
13.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2658
20.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
2212
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5073
6.52 IPS |
|
|
Style Transfer (HP)
|
100% |
7847
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7011
9.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1252
46.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1417
52.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1147
42.3 IPS |
|
|
Text Classification (SP)
|
100% |
290
387.3 IPS |
|
|
Text Classification (HP)
|
100% |
556
742.0 IPS |
|
|
Text Classification (Q)
|
93% |
553
742.5 IPS |
|
|
Machine Translation (SP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1270
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1260
21.8 IPS |
