iPad Pro 11-inch (2nd generation)
Geekbench AI Score
798
Single Precision Score
2511
Half Precision Score
471
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 25 2026 08:38 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
393
73.1 IPS |
|
|
Image Classification (HP)
|
100% |
2212
411.3 IPS |
|
|
Image Classification (Q)
|
99% |
170
31.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
317
5.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
391
6.34 IPS |
|
|
Image Segmentation (Q)
|
99% |
242
3.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
2521
2.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
27296
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1685
1.98 IPS |
|
|
Object Detection (SP)
|
100% |
453
35.9 IPS |
|
|
Object Detection (HP)
|
100% |
1636
129.8 IPS |
|
|
Object Detection (Q)
|
94% |
214
17.0 IPS |
|
|
Face Detection (SP)
|
100% |
995
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
6643
78.9 IPS |
|
|
Face Detection (Q)
|
100% |
312
3.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
1216
9.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
22962
176.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
673
5.26 IPS |
|
|
Style Transfer (SP)
|
100% |
3797
4.88 IPS |
|
|
Style Transfer (HP)
|
100% |
3751
4.82 IPS |
|
|
Style Transfer (Q)
|
96% |
2664
3.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1121
41.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3325
122.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
483
17.8 IPS |
|
|
Text Classification (SP)
|
100% |
261
348.2 IPS |
|
|
Text Classification (HP)
|
100% |
299
399.1 IPS |
|
|
Text Classification (Q)
|
93% |
298
399.9 IPS |
|
|
Machine Translation (SP)
|
100% |
553
9.53 IPS |
|
|
Machine Translation (HP)
|
100% |
454
7.83 IPS |
|
|
Machine Translation (Q)
|
98% |
453
7.83 IPS |
