iPad Pro 11-inch (2nd generation)
Geekbench AI Score
801
Single Precision Score
2554
Half Precision Score
475
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 14 2026 10:08 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
400
74.4 IPS |
|
|
Image Classification (HP)
|
100% |
2359
438.7 IPS |
|
|
Image Classification (Q)
|
99% |
181
33.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
315
5.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
388
6.29 IPS |
|
|
Image Segmentation (Q)
|
99% |
241
3.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
2509
2.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
27297
31.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
1681
1.97 IPS |
|
|
Object Detection (SP)
|
100% |
453
36.0 IPS |
|
|
Object Detection (HP)
|
100% |
1672
132.6 IPS |
|
|
Object Detection (Q)
|
94% |
214
17.1 IPS |
|
|
Face Detection (SP)
|
100% |
992
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
6729
80.0 IPS |
|
|
Face Detection (Q)
|
100% |
312
3.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
1210
9.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
23410
180.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
672
5.25 IPS |
|
|
Style Transfer (SP)
|
100% |
3790
4.87 IPS |
|
|
Style Transfer (HP)
|
100% |
3755
4.83 IPS |
|
|
Style Transfer (Q)
|
96% |
2659
3.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1150
42.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3499
129.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
503
18.6 IPS |
|
|
Text Classification (SP)
|
100% |
265
353.9 IPS |
|
|
Text Classification (HP)
|
100% |
301
401.4 IPS |
|
|
Text Classification (Q)
|
93% |
298
400.0 IPS |
|
|
Machine Translation (SP)
|
100% |
551
9.49 IPS |
|
|
Machine Translation (HP)
|
100% |
455
7.84 IPS |
|
|
Machine Translation (Q)
|
98% |
453
7.83 IPS |
