iPad Pro 11-inch (2nd generation)
Geekbench AI Score
800
Single Precision Score
2516
Half Precision Score
471
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 12 2026 09:04 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% |
395
73.5 IPS |
|
|
Image Classification (HP)
|
100% |
2201
409.4 IPS |
|
|
Image Classification (Q)
|
99% |
171
31.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
390
6.32 IPS |
|
|
Image Segmentation (Q)
|
99% |
241
3.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
2527
2.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
27212
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1676
1.97 IPS |
|
|
Object Detection (SP)
|
100% |
453
35.9 IPS |
|
|
Object Detection (HP)
|
100% |
1670
132.5 IPS |
|
|
Object Detection (Q)
|
94% |
210
16.7 IPS |
|
|
Face Detection (SP)
|
100% |
993
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
6694
79.5 IPS |
|
|
Face Detection (Q)
|
100% |
312
3.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
1214
9.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
23524
181.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
683
5.34 IPS |
|
|
Style Transfer (SP)
|
100% |
3798
4.88 IPS |
|
|
Style Transfer (HP)
|
100% |
3746
4.82 IPS |
|
|
Style Transfer (Q)
|
96% |
2661
3.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1134
41.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3244
119.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
485
17.9 IPS |
|
|
Text Classification (SP)
|
100% |
264
351.8 IPS |
|
|
Text Classification (HP)
|
100% |
300
400.6 IPS |
|
|
Text Classification (Q)
|
93% |
298
399.8 IPS |
|
|
Machine Translation (SP)
|
100% |
552
9.51 IPS |
|
|
Machine Translation (HP)
|
100% |
454
7.83 IPS |
|
|
Machine Translation (Q)
|
98% |
453
7.83 IPS |
