iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1257
Single Precision Score
1544
Half Precision Score
421
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 29 2026 09:12 AM |
| Views | 6 |
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% |
945
175.7 IPS |
|
|
Image Classification (HP)
|
100% |
1265
235.3 IPS |
|
|
Image Classification (Q)
|
96% |
171
32.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
359
5.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
375
6.08 IPS |
|
|
Image Segmentation (Q)
|
99% |
234
3.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
3179
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4602
5.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
1870
2.19 IPS |
|
|
Object Detection (SP)
|
100% |
1014
80.4 IPS |
|
|
Object Detection (HP)
|
100% |
1306
103.6 IPS |
|
|
Object Detection (Q)
|
92% |
198
15.8 IPS |
|
|
Face Detection (SP)
|
100% |
3903
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
4364
51.9 IPS |
|
|
Face Detection (Q)
|
100% |
319
3.79 IPS |
|
|
Depth Estimation (SP)
|
100% |
3138
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4682
36.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
573
4.47 IPS |
|
|
Style Transfer (SP)
|
100% |
8809
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10832
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
3148
4.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1553
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2305
85.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
423
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
100
134.0 IPS |
|
|
Text Classification (HP)
|
100% |
108
143.6 IPS |
|
|
Text Classification (Q)
|
93% |
101
135.6 IPS |
|
|
Machine Translation (SP)
|
100% |
538
9.27 IPS |
|
|
Machine Translation (HP)
|
100% |
493
8.50 IPS |
|
|
Machine Translation (Q)
|
98% |
491
8.49 IPS |
