iPad Pro 11-inch (2nd generation)
Geekbench AI Score
796
Single Precision Score
2529
Half Precision Score
471
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 01 2026 10:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
402
74.7 IPS |
|
|
Image Classification (HP)
|
100% |
2239
416.3 IPS |
|
|
Image Classification (Q)
|
99% |
168
31.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
308
5.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
383
6.21 IPS |
|
|
Image Segmentation (Q)
|
99% |
239
3.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
2404
2.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
27307
31.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
1677
1.97 IPS |
|
|
Object Detection (SP)
|
100% |
451
35.8 IPS |
|
|
Object Detection (HP)
|
100% |
1686
133.7 IPS |
|
|
Object Detection (Q)
|
94% |
215
17.1 IPS |
|
|
Face Detection (SP)
|
100% |
991
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
6760
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
312
3.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
1226
9.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
23781
183.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
671
5.24 IPS |
|
|
Style Transfer (SP)
|
100% |
3792
4.87 IPS |
|
|
Style Transfer (HP)
|
100% |
3747
4.82 IPS |
|
|
Style Transfer (Q)
|
96% |
2657
3.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1135
41.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3248
119.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
497
18.3 IPS |
|
|
Text Classification (SP)
|
100% |
266
355.5 IPS |
|
|
Text Classification (HP)
|
100% |
306
408.3 IPS |
|
|
Text Classification (Q)
|
93% |
299
401.0 IPS |
|
|
Machine Translation (SP)
|
100% |
548
9.44 IPS |
|
|
Machine Translation (HP)
|
100% |
454
7.82 IPS |
|
|
Machine Translation (Q)
|
98% |
452
7.81 IPS |
