iPad Pro 11-inch (2nd generation)
Geekbench AI Score
709
Single Precision Score
2413
Half Precision Score
443
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 24 2025 11:56 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
337
62.8 IPS |
|
|
Image Classification (HP)
|
100% |
2210
411.0 IPS |
|
|
Image Classification (Q)
|
99% |
166
31.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
311
5.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
383
6.21 IPS |
|
|
Image Segmentation (Q)
|
99% |
234
3.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
2163
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
28735
33.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
1569
1.84 IPS |
|
|
Object Detection (SP)
|
100% |
379
30.1 IPS |
|
|
Object Detection (HP)
|
100% |
1360
107.9 IPS |
|
|
Object Detection (Q)
|
94% |
191
15.2 IPS |
|
|
Face Detection (SP)
|
100% |
849
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6514
77.4 IPS |
|
|
Face Detection (Q)
|
100% |
316
3.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
1073
8.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
23106
178.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
613
4.79 IPS |
|
|
Style Transfer (SP)
|
100% |
3373
4.34 IPS |
|
|
Style Transfer (HP)
|
100% |
3306
4.25 IPS |
|
|
Style Transfer (Q)
|
96% |
2432
3.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
948
35.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3607
133.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
479
17.7 IPS |
|
|
Text Classification (SP)
|
100% |
261
349.0 IPS |
|
|
Text Classification (HP)
|
100% |
299
399.0 IPS |
|
|
Text Classification (Q)
|
93% |
297
398.8 IPS |
|
|
Machine Translation (SP)
|
100% |
494
8.51 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.51 IPS |
|
|
Machine Translation (Q)
|
98% |
377
6.51 IPS |
