iPad Pro 11-inch (2nd generation)
Geekbench AI Score
800
Single Precision Score
2513
Half Precision Score
468
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 28 2026 11:49 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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
74.1 IPS |
|
|
Image Classification (HP)
|
100% |
2222
413.2 IPS |
|
|
Image Classification (Q)
|
99% |
168
31.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
313
5.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
383
6.21 IPS |
|
|
Image Segmentation (Q)
|
99% |
243
3.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
2628
3.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
27293
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1745
2.05 IPS |
|
|
Object Detection (SP)
|
100% |
448
35.5 IPS |
|
|
Object Detection (HP)
|
100% |
1654
131.2 IPS |
|
|
Object Detection (Q)
|
94% |
205
16.4 IPS |
|
|
Face Detection (SP)
|
100% |
994
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
6711
79.7 IPS |
|
|
Face Detection (Q)
|
100% |
312
3.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
1208
9.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
23390
180.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
670
5.23 IPS |
|
|
Style Transfer (SP)
|
100% |
3875
4.98 IPS |
|
|
Style Transfer (HP)
|
100% |
3821
4.91 IPS |
|
|
Style Transfer (Q)
|
96% |
2690
3.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1115
41.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3284
121.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
475
17.5 IPS |
|
|
Text Classification (SP)
|
100% |
263
350.8 IPS |
|
|
Text Classification (HP)
|
100% |
297
396.2 IPS |
|
|
Text Classification (Q)
|
93% |
295
395.7 IPS |
|
|
Machine Translation (SP)
|
100% |
542
9.34 IPS |
|
|
Machine Translation (HP)
|
100% |
447
7.71 IPS |
|
|
Machine Translation (Q)
|
98% |
446
7.71 IPS |
