iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1261
Single Precision Score
1534
Half Precision Score
427
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 21 2026 08:20 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1002
186.3 IPS |
|
|
Image Classification (HP)
|
100% |
1316
244.8 IPS |
|
|
Image Classification (Q)
|
96% |
177
33.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
359
5.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
381
6.18 IPS |
|
|
Image Segmentation (Q)
|
99% |
238
3.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
3189
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4614
5.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
1937
2.27 IPS |
|
|
Object Detection (SP)
|
100% |
1001
79.4 IPS |
|
|
Object Detection (HP)
|
100% |
1289
102.2 IPS |
|
|
Object Detection (Q)
|
92% |
200
16.0 IPS |
|
|
Face Detection (SP)
|
100% |
3756
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
4276
50.8 IPS |
|
|
Face Detection (Q)
|
100% |
310
3.69 IPS |
|
|
Depth Estimation (SP)
|
100% |
3125
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4591
35.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
579
4.52 IPS |
|
|
Style Transfer (SP)
|
100% |
8881
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10762
13.8 IPS |
|
|
Style Transfer (Q)
|
96% |
3216
4.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1562
57.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2239
82.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
423
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
101
134.9 IPS |
|
|
Text Classification (HP)
|
100% |
104
139.1 IPS |
|
|
Text Classification (Q)
|
93% |
103
138.4 IPS |
|
|
Machine Translation (SP)
|
100% |
539
9.29 IPS |
|
|
Machine Translation (HP)
|
100% |
493
8.50 IPS |
|
|
Machine Translation (Q)
|
98% |
494
8.54 IPS |
