iPad Pro 11-inch (2nd generation)
Geekbench AI Score
800
Single Precision Score
2522
Half Precision Score
471
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2026 09:13 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
401
74.5 IPS |
|
|
Image Classification (HP)
|
100% |
2216
412.0 IPS |
|
|
Image Classification (Q)
|
99% |
174
32.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
318
5.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
391
6.34 IPS |
|
|
Image Segmentation (Q)
|
99% |
243
3.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
2505
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
27280
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1681
1.97 IPS |
|
|
Object Detection (SP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (HP)
|
100% |
1681
133.3 IPS |
|
|
Object Detection (Q)
|
94% |
206
16.5 IPS |
|
|
Face Detection (SP)
|
100% |
999
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
6681
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
312
3.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
1207
9.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
23269
179.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
673
5.26 IPS |
|
|
Style Transfer (SP)
|
100% |
3799
4.88 IPS |
|
|
Style Transfer (HP)
|
100% |
3765
4.84 IPS |
|
|
Style Transfer (Q)
|
96% |
2663
3.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1123
41.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3268
120.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
492
18.2 IPS |
|
|
Text Classification (SP)
|
100% |
264
352.0 IPS |
|
|
Text Classification (HP)
|
100% |
302
402.5 IPS |
|
|
Text Classification (Q)
|
93% |
299
401.0 IPS |
|
|
Machine Translation (SP)
|
100% |
548
9.43 IPS |
|
|
Machine Translation (HP)
|
100% |
455
7.84 IPS |
|
|
Machine Translation (Q)
|
98% |
453
7.84 IPS |
