iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1019
Single Precision Score
1562
Half Precision Score
1344
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 06 2025 06:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
483
89.8 IPS |
|
|
Image Classification (HP)
|
100% |
809
150.4 IPS |
|
|
Image Classification (Q)
|
96% |
637
118.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
614
9.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
977
15.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1025
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2604
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
2351
2.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
2022
2.37 IPS |
|
|
Object Detection (SP)
|
100% |
542
43.0 IPS |
|
|
Object Detection (HP)
|
99% |
953
75.6 IPS |
|
|
Object Detection (Q)
|
92% |
766
61.1 IPS |
|
|
Face Detection (SP)
|
100% |
1265
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2334
27.7 IPS |
|
|
Face Detection (Q)
|
100% |
1481
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1754
13.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2681
20.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
2231
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5108
6.57 IPS |
|
|
Style Transfer (HP)
|
100% |
7866
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7070
9.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1249
46.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1418
52.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1170
43.2 IPS |
|
|
Text Classification (SP)
|
100% |
285
380.9 IPS |
|
|
Text Classification (HP)
|
100% |
558
745.2 IPS |
|
|
Text Classification (Q)
|
93% |
557
747.6 IPS |
|
|
Machine Translation (SP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1256
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1251
21.6 IPS |
