iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1024
Single Precision Score
1544
Half Precision Score
1345
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Trinity33R |
| Upload Date | February 01 2026 01:49 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPad Pro 11-inch (2nd generation) |
| Model ID | iPad8,9 |
| Motherboard | J417AP |
| 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% |
481
89.4 IPS |
|
|
Image Classification (HP)
|
100% |
776
144.3 IPS |
|
|
Image Classification (Q)
|
96% |
620
115.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
597
9.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
926
15.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1020
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2676
3.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
2331
2.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
2230
2.61 IPS |
|
|
Object Detection (SP)
|
100% |
544
43.1 IPS |
|
|
Object Detection (HP)
|
99% |
935
74.2 IPS |
|
|
Object Detection (Q)
|
92% |
753
60.1 IPS |
|
|
Face Detection (SP)
|
100% |
1265
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2337
27.8 IPS |
|
|
Face Detection (Q)
|
100% |
1475
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1758
13.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2687
20.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
2192
17.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5159
6.63 IPS |
|
|
Style Transfer (HP)
|
100% |
7912
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7065
9.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1259
46.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1402
51.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1150
42.4 IPS |
|
|
Text Classification (SP)
|
100% |
290
387.0 IPS |
|
|
Text Classification (HP)
|
100% |
556
742.5 IPS |
|
|
Text Classification (Q)
|
93% |
553
742.0 IPS |
|
|
Machine Translation (SP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (HP)
|
99% |
1271
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1259
21.8 IPS |
