iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1022
Single Precision Score
1562
Half Precision Score
1343
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 04 2025 03:31 AM |
| Views | 4 |
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% |
486
90.4 IPS |
|
|
Image Classification (HP)
|
100% |
794
147.6 IPS |
|
|
Image Classification (Q)
|
96% |
623
116.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
610
9.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
951
15.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1014
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2610
3.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2349
2.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
2038
2.39 IPS |
|
|
Object Detection (SP)
|
100% |
542
43.0 IPS |
|
|
Object Detection (HP)
|
99% |
944
74.9 IPS |
|
|
Object Detection (Q)
|
92% |
759
60.6 IPS |
|
|
Face Detection (SP)
|
100% |
1260
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2325
27.6 IPS |
|
|
Face Detection (Q)
|
100% |
1473
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1761
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2695
20.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
2216
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5137
6.60 IPS |
|
|
Style Transfer (HP)
|
100% |
7865
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7092
9.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1226
45.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1415
52.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1167
43.1 IPS |
|
|
Text Classification (SP)
|
100% |
290
386.9 IPS |
|
|
Text Classification (HP)
|
100% |
573
765.2 IPS |
|
|
Text Classification (Q)
|
93% |
564
757.0 IPS |
|
|
Machine Translation (SP)
|
100% |
736
12.7 IPS |
|
|
Machine Translation (HP)
|
99% |
1299
22.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1289
22.3 IPS |
