iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1261
Single Precision Score
1529
Half Precision Score
424
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 16 2025 02:50 PM |
| Views | 11 |
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% |
1016
188.9 IPS |
|
|
Image Classification (HP)
|
100% |
1271
236.3 IPS |
|
|
Image Classification (Q)
|
96% |
170
31.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
353
5.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
384
6.23 IPS |
|
|
Image Segmentation (Q)
|
99% |
236
3.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
3179
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4586
5.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
1893
2.22 IPS |
|
|
Object Detection (SP)
|
100% |
1004
79.6 IPS |
|
|
Object Detection (HP)
|
100% |
1277
101.3 IPS |
|
|
Object Detection (Q)
|
92% |
203
16.2 IPS |
|
|
Face Detection (SP)
|
100% |
3762
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
4339
51.6 IPS |
|
|
Face Detection (Q)
|
100% |
315
3.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
3158
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4620
35.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
576
4.50 IPS |
|
|
Style Transfer (SP)
|
100% |
8882
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10794
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
3147
4.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1549
57.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2238
82.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
423
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
101
134.9 IPS |
|
|
Text Classification (HP)
|
100% |
102
136.5 IPS |
|
|
Text Classification (Q)
|
93% |
104
140.0 IPS |
|
|
Machine Translation (SP)
|
100% |
541
9.32 IPS |
|
|
Machine Translation (HP)
|
100% |
496
8.54 IPS |
|
|
Machine Translation (Q)
|
98% |
496
8.58 IPS |
