iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1005
Single Precision Score
1556
Half Precision Score
1347
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 24 2025 11:45 PM |
| Views | 11 |
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
91.7 IPS |
|
|
Image Classification (HP)
|
100% |
797
148.3 IPS |
|
|
Image Classification (Q)
|
96% |
636
118.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
614
9.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
987
16.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1033
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2539
2.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
2262
2.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
2001
2.34 IPS |
|
|
Object Detection (SP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (HP)
|
99% |
967
76.7 IPS |
|
|
Object Detection (Q)
|
92% |
767
61.2 IPS |
|
|
Face Detection (SP)
|
100% |
1268
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2337
27.8 IPS |
|
|
Face Detection (Q)
|
100% |
1529
18.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1713
13.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2672
20.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
2212
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4504
5.79 IPS |
|
|
Style Transfer (HP)
|
100% |
7649
9.83 IPS |
|
|
Style Transfer (Q)
|
96% |
6838
8.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1229
45.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1440
53.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1205
44.5 IPS |
|
|
Text Classification (SP)
|
100% |
290
387.3 IPS |
|
|
Text Classification (HP)
|
100% |
557
744.0 IPS |
|
|
Text Classification (Q)
|
93% |
554
743.8 IPS |
|
|
Machine Translation (SP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (HP)
|
99% |
1268
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1267
21.9 IPS |
