iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1344
Single Precision Score
1684
Half Precision Score
442
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 31 2025 07:13 PM |
| Views | 2 |
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% |
955
177.6 IPS |
|
|
Image Classification (HP)
|
100% |
1342
249.7 IPS |
|
|
Image Classification (Q)
|
96% |
152
28.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
353
5.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
371
6.02 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
3192
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4595
5.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1828
2.14 IPS |
|
|
Object Detection (SP)
|
100% |
989
78.5 IPS |
|
|
Object Detection (HP)
|
100% |
1292
102.5 IPS |
|
|
Object Detection (Q)
|
92% |
177
14.2 IPS |
|
|
Face Detection (SP)
|
100% |
3678
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
4346
51.6 IPS |
|
|
Face Detection (Q)
|
100% |
295
3.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
3183
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4771
36.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
558
4.36 IPS |
|
|
Style Transfer (SP)
|
100% |
8892
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10784
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
3063
3.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1546
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2265
83.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
399
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
211
281.6 IPS |
|
|
Text Classification (HP)
|
100% |
254
339.4 IPS |
|
|
Text Classification (Q)
|
93% |
261
350.1 IPS |
|
|
Machine Translation (SP)
|
100% |
536
9.24 IPS |
|
|
Machine Translation (HP)
|
100% |
483
8.33 IPS |
|
|
Machine Translation (Q)
|
98% |
488
8.44 IPS |
