iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1262
Single Precision Score
1537
Half Precision Score
425
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 08 2026 08:53 AM |
| Views | 7 |
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% |
1020
189.6 IPS |
|
|
Image Classification (HP)
|
100% |
1274
236.9 IPS |
|
|
Image Classification (Q)
|
96% |
172
32.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
367
5.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
378
6.12 IPS |
|
|
Image Segmentation (Q)
|
99% |
235
3.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
3187
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4590
5.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1916
2.24 IPS |
|
|
Object Detection (SP)
|
100% |
997
79.1 IPS |
|
|
Object Detection (HP)
|
100% |
1299
103.0 IPS |
|
|
Object Detection (Q)
|
92% |
199
15.8 IPS |
|
|
Face Detection (SP)
|
100% |
3738
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
4292
51.0 IPS |
|
|
Face Detection (Q)
|
100% |
314
3.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
3184
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4586
35.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
577
4.51 IPS |
|
|
Style Transfer (SP)
|
100% |
8832
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10839
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
3219
4.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1547
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2246
82.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
423
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
99
131.7 IPS |
|
|
Text Classification (HP)
|
100% |
108
143.8 IPS |
|
|
Text Classification (Q)
|
93% |
104
140.0 IPS |
|
|
Machine Translation (SP)
|
100% |
537
9.26 IPS |
|
|
Machine Translation (HP)
|
100% |
497
8.57 IPS |
|
|
Machine Translation (Q)
|
98% |
492
8.50 IPS |
