iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1024
Single Precision Score
1552
Half Precision Score
1342
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 20 2025 02:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
493
91.8 IPS |
|
|
Image Classification (HP)
|
100% |
795
147.8 IPS |
|
|
Image Classification (Q)
|
96% |
624
116.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
611
9.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
964
15.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1014
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2604
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
2327
2.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
2131
2.50 IPS |
|
|
Object Detection (SP)
|
100% |
550
43.6 IPS |
|
|
Object Detection (HP)
|
99% |
947
75.1 IPS |
|
|
Object Detection (Q)
|
92% |
755
60.2 IPS |
|
|
Face Detection (SP)
|
100% |
1260
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2364
28.1 IPS |
|
|
Face Detection (Q)
|
100% |
1473
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1760
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2665
20.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
2207
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5100
6.56 IPS |
|
|
Style Transfer (HP)
|
100% |
7839
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7068
9.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1244
45.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1384
51.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1167
43.1 IPS |
|
|
Text Classification (SP)
|
100% |
290
386.4 IPS |
|
|
Text Classification (HP)
|
100% |
557
743.3 IPS |
|
|
Text Classification (Q)
|
93% |
554
743.9 IPS |
|
|
Machine Translation (SP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1262
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1258
21.7 IPS |
