iPad Pro 11-inch (2nd generation)
Geekbench AI Score
795
Single Precision Score
2527
Half Precision Score
468
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 21 2026 08:25 AM |
| Views | 7 |
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% |
402
74.8 IPS |
|
|
Image Classification (HP)
|
100% |
2364
439.6 IPS |
|
|
Image Classification (Q)
|
99% |
171
31.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
368
5.97 IPS |
|
|
Image Segmentation (Q)
|
99% |
241
3.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
2485
2.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
27149
31.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
1672
1.96 IPS |
|
|
Object Detection (SP)
|
100% |
453
35.9 IPS |
|
|
Object Detection (HP)
|
100% |
1739
137.9 IPS |
|
|
Object Detection (Q)
|
94% |
214
17.1 IPS |
|
|
Face Detection (SP)
|
100% |
989
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
6640
78.9 IPS |
|
|
Face Detection (Q)
|
100% |
325
3.86 IPS |
|
|
Depth Estimation (SP)
|
100% |
1218
9.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
23763
183.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
673
5.25 IPS |
|
|
Style Transfer (SP)
|
100% |
3758
4.83 IPS |
|
|
Style Transfer (HP)
|
100% |
3728
4.79 IPS |
|
|
Style Transfer (Q)
|
96% |
2361
3.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1134
41.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3273
120.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
494
18.2 IPS |
|
|
Text Classification (SP)
|
100% |
257
343.1 IPS |
|
|
Text Classification (HP)
|
100% |
296
394.7 IPS |
|
|
Text Classification (Q)
|
93% |
300
403.2 IPS |
|
|
Machine Translation (SP)
|
100% |
548
9.44 IPS |
|
|
Machine Translation (HP)
|
100% |
454
7.82 IPS |
|
|
Machine Translation (Q)
|
98% |
453
7.82 IPS |
