iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1357
Single Precision Score
1685
Half Precision Score
446
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 24 2025 11:50 PM |
| Views | 10 |
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% |
989
183.9 IPS |
|
|
Image Classification (HP)
|
100% |
1377
256.1 IPS |
|
|
Image Classification (Q)
|
96% |
155
29.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
369
5.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
371
6.02 IPS |
|
|
Image Segmentation (Q)
|
99% |
229
3.72 IPS |
|
|
Pose Estimation (SP)
|
100% |
3188
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4603
5.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
1847
2.16 IPS |
|
|
Object Detection (SP)
|
100% |
999
79.2 IPS |
|
|
Object Detection (HP)
|
100% |
1304
103.4 IPS |
|
|
Object Detection (Q)
|
92% |
180
14.4 IPS |
|
|
Face Detection (SP)
|
100% |
3646
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
4227
50.2 IPS |
|
|
Face Detection (Q)
|
100% |
304
3.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
3160
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4641
35.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
557
4.35 IPS |
|
|
Style Transfer (SP)
|
100% |
8906
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10835
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
3112
4.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1539
56.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2257
83.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
399
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
215
286.6 IPS |
|
|
Text Classification (HP)
|
100% |
262
349.9 IPS |
|
|
Text Classification (Q)
|
93% |
261
350.4 IPS |
|
|
Machine Translation (SP)
|
100% |
537
9.25 IPS |
|
|
Machine Translation (HP)
|
100% |
481
8.29 IPS |
|
|
Machine Translation (Q)
|
98% |
484
8.36 IPS |
