iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1261
Single Precision Score
1536
Half Precision Score
423
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 28 2026 11:44 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
955
177.6 IPS |
|
|
Image Classification (HP)
|
100% |
1230
228.7 IPS |
|
|
Image Classification (Q)
|
96% |
171
32.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
371
6.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
389
6.30 IPS |
|
|
Image Segmentation (Q)
|
99% |
236
3.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
3180
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4594
5.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1920
2.25 IPS |
|
|
Object Detection (SP)
|
100% |
1015
80.5 IPS |
|
|
Object Detection (HP)
|
100% |
1307
103.6 IPS |
|
|
Object Detection (Q)
|
92% |
198
15.8 IPS |
|
|
Face Detection (SP)
|
100% |
3867
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
4406
52.4 IPS |
|
|
Face Detection (Q)
|
100% |
306
3.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
3162
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4708
36.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
580
4.53 IPS |
|
|
Style Transfer (SP)
|
100% |
8854
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10775
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
3168
4.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1549
57.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2227
82.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
424
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
99
132.5 IPS |
|
|
Text Classification (HP)
|
100% |
103
137.6 IPS |
|
|
Text Classification (Q)
|
93% |
102
136.7 IPS |
|
|
Machine Translation (SP)
|
100% |
538
9.27 IPS |
|
|
Machine Translation (HP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (Q)
|
98% |
499
8.63 IPS |
