iPad Pro 11-inch (2nd generation)
Geekbench AI Score
708
Single Precision Score
2372
Half Precision Score
438
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 24 2025 06:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
333
62.0 IPS |
|
|
Image Classification (HP)
|
100% |
2093
389.2 IPS |
|
|
Image Classification (Q)
|
99% |
162
30.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
299
4.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
375
6.08 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
2203
2.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
27199
31.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
1525
1.79 IPS |
|
|
Object Detection (SP)
|
100% |
379
30.0 IPS |
|
|
Object Detection (HP)
|
100% |
1336
106.0 IPS |
|
|
Object Detection (Q)
|
94% |
192
15.3 IPS |
|
|
Face Detection (SP)
|
100% |
846
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6492
77.1 IPS |
|
|
Face Detection (Q)
|
100% |
301
3.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
1042
8.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
23488
181.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
597
4.66 IPS |
|
|
Style Transfer (SP)
|
100% |
3571
4.59 IPS |
|
|
Style Transfer (HP)
|
100% |
3533
4.54 IPS |
|
|
Style Transfer (Q)
|
96% |
2547
3.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
948
35.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3261
120.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
482
17.8 IPS |
|
|
Text Classification (SP)
|
100% |
261
349.0 IPS |
|
|
Text Classification (HP)
|
100% |
297
396.0 IPS |
|
|
Text Classification (Q)
|
93% |
294
394.7 IPS |
|
|
Machine Translation (SP)
|
100% |
489
8.42 IPS |
|
|
Machine Translation (HP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (Q)
|
98% |
374
6.47 IPS |
