iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1345
Single Precision Score
1680
Half Precision Score
443
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 01 2025 12:36 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
961
178.6 IPS |
|
|
Image Classification (HP)
|
100% |
1331
247.5 IPS |
|
|
Image Classification (Q)
|
96% |
154
28.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
358
5.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
371
6.02 IPS |
|
|
Image Segmentation (Q)
|
99% |
224
3.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
3185
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4602
5.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
1861
2.18 IPS |
|
|
Object Detection (SP)
|
100% |
996
79.0 IPS |
|
|
Object Detection (HP)
|
100% |
1293
102.6 IPS |
|
|
Object Detection (Q)
|
92% |
178
14.2 IPS |
|
|
Face Detection (SP)
|
100% |
3666
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
4241
50.4 IPS |
|
|
Face Detection (Q)
|
100% |
295
3.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
3159
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4723
36.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
551
4.30 IPS |
|
|
Style Transfer (SP)
|
100% |
8879
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11043
14.2 IPS |
|
|
Style Transfer (Q)
|
96% |
3097
4.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1539
56.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2257
83.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
398
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
211
281.1 IPS |
|
|
Text Classification (HP)
|
100% |
253
337.6 IPS |
|
|
Text Classification (Q)
|
93% |
262
351.7 IPS |
|
|
Machine Translation (SP)
|
100% |
535
9.21 IPS |
|
|
Machine Translation (HP)
|
100% |
484
8.34 IPS |
|
|
Machine Translation (Q)
|
98% |
487
8.41 IPS |
