iPad Pro 11-inch (2nd generation)
Geekbench AI Score
799
Single Precision Score
2503
Half Precision Score
469
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 21 2026 12:35 AM |
| Views | 5 |
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% |
398
74.0 IPS |
|
|
Image Classification (HP)
|
100% |
2190
407.3 IPS |
|
|
Image Classification (Q)
|
99% |
175
32.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
317
5.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
378
6.12 IPS |
|
|
Image Segmentation (Q)
|
99% |
242
3.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
2494
2.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
27272
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1688
1.98 IPS |
|
|
Object Detection (SP)
|
100% |
452
35.8 IPS |
|
|
Object Detection (HP)
|
100% |
1646
130.5 IPS |
|
|
Object Detection (Q)
|
94% |
205
16.4 IPS |
|
|
Face Detection (SP)
|
100% |
996
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
6704
79.7 IPS |
|
|
Face Detection (Q)
|
100% |
312
3.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
1212
9.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
23289
179.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
672
5.25 IPS |
|
|
Style Transfer (SP)
|
100% |
3778
4.86 IPS |
|
|
Style Transfer (HP)
|
100% |
3766
4.84 IPS |
|
|
Style Transfer (Q)
|
96% |
2665
3.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1133
41.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3256
120.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
478
17.7 IPS |
|
|
Text Classification (SP)
|
100% |
265
354.0 IPS |
|
|
Text Classification (HP)
|
100% |
299
399.3 IPS |
|
|
Text Classification (Q)
|
93% |
297
398.7 IPS |
|
|
Machine Translation (SP)
|
100% |
546
9.41 IPS |
|
|
Machine Translation (HP)
|
100% |
455
7.83 IPS |
|
|
Machine Translation (Q)
|
98% |
452
7.82 IPS |
