iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1345
Single Precision Score
1685
Half Precision Score
441
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 23 2025 06:21 PM |
| Views | 5 |
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% |
964
179.3 IPS |
|
|
Image Classification (HP)
|
100% |
1360
252.9 IPS |
|
|
Image Classification (Q)
|
96% |
153
28.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
355
5.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
373
6.05 IPS |
|
|
Image Segmentation (Q)
|
99% |
224
3.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
3185
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4603
5.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
1835
2.15 IPS |
|
|
Object Detection (SP)
|
100% |
1012
80.3 IPS |
|
|
Object Detection (HP)
|
100% |
1293
102.5 IPS |
|
|
Object Detection (Q)
|
92% |
177
14.1 IPS |
|
|
Face Detection (SP)
|
100% |
3596
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
4334
51.5 IPS |
|
|
Face Detection (Q)
|
100% |
297
3.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
3175
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4757
36.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
553
4.32 IPS |
|
|
Style Transfer (SP)
|
100% |
8891
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10833
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
3083
3.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1529
56.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2264
83.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
398
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
210
280.5 IPS |
|
|
Text Classification (HP)
|
100% |
251
334.6 IPS |
|
|
Text Classification (Q)
|
93% |
259
348.1 IPS |
|
|
Machine Translation (SP)
|
100% |
539
9.29 IPS |
|
|
Machine Translation (HP)
|
100% |
484
8.34 IPS |
|
|
Machine Translation (Q)
|
98% |
489
8.46 IPS |
