iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1022
Single Precision Score
1563
Half Precision Score
1350
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 08 2025 06:05 PM |
| Views | 5 |
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% |
488
90.7 IPS |
|
|
Image Classification (HP)
|
100% |
805
149.7 IPS |
|
|
Image Classification (Q)
|
96% |
636
118.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
615
9.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
975
15.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1023
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2610
3.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2357
2.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
2048
2.40 IPS |
|
|
Object Detection (SP)
|
100% |
544
43.1 IPS |
|
|
Object Detection (HP)
|
99% |
956
75.8 IPS |
|
|
Object Detection (Q)
|
92% |
767
61.2 IPS |
|
|
Face Detection (SP)
|
100% |
1262
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2333
27.7 IPS |
|
|
Face Detection (Q)
|
100% |
1477
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1756
13.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2687
20.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
2248
17.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5135
6.60 IPS |
|
|
Style Transfer (HP)
|
100% |
7896
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7085
9.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1250
46.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1419
52.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1176
43.4 IPS |
|
|
Text Classification (SP)
|
100% |
286
381.4 IPS |
|
|
Text Classification (HP)
|
100% |
559
746.1 IPS |
|
|
Text Classification (Q)
|
93% |
558
749.1 IPS |
|
|
Machine Translation (SP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1257
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1278
22.1 IPS |
