iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1338
Single Precision Score
1693
Half Precision Score
445
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 19 2025 06:51 PM |
| Views | 32 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
967
179.9 IPS |
|
|
Image Classification (HP)
|
100% |
1331
247.6 IPS |
|
|
Image Classification (Q)
|
96% |
157
29.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
355
5.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
376
6.10 IPS |
|
|
Image Segmentation (Q)
|
99% |
227
3.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
2981
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
4489
5.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
1855
2.17 IPS |
|
|
Object Detection (SP)
|
100% |
1016
80.6 IPS |
|
|
Object Detection (HP)
|
100% |
1336
106.0 IPS |
|
|
Object Detection (Q)
|
92% |
179
14.3 IPS |
|
|
Face Detection (SP)
|
100% |
3570
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
4360
51.8 IPS |
|
|
Face Detection (Q)
|
100% |
295
3.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
3208
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4739
36.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
551
4.31 IPS |
|
|
Style Transfer (SP)
|
100% |
8788
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10898
14.0 IPS |
|
|
Style Transfer (Q)
|
96% |
3134
4.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1530
56.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2247
83.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
398
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
215
287.4 IPS |
|
|
Text Classification (HP)
|
100% |
258
344.0 IPS |
|
|
Text Classification (Q)
|
93% |
260
348.4 IPS |
|
|
Machine Translation (SP)
|
100% |
538
9.27 IPS |
|
|
Machine Translation (HP)
|
100% |
494
8.50 IPS |
|
|
Machine Translation (Q)
|
98% |
491
8.48 IPS |
