iPad (11th generation)
Geekbench AI Score
3447
Single Precision Score
22047
Half Precision Score
25584
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 01 2026 03:07 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPad (11th generation) |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | Apple A16 |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1351
251.2 IPS |
|
|
Image Classification (HP)
|
100% |
8794
1.64 KIPS |
|
|
Image Classification (Q)
|
97% |
10572
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1401
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13667
221.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19024
308.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6658
7.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
101231
118.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
103527
121.3 IPS |
|
|
Object Detection (SP)
|
100% |
1483
117.6 IPS |
|
|
Object Detection (HP)
|
100% |
11860
940.7 IPS |
|
|
Object Detection (Q)
|
91% |
13345
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
3144
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
27658
328.6 IPS |
|
|
Face Detection (Q)
|
100% |
39818
473.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5904
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
71942
554.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
91476
715.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18855
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
169696
218.1 IPS |
|
|
Style Transfer (Q)
|
96% |
172870
223.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3875
143.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32777
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34960
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2741
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
2451
3.27 KIPS |
|
|
Text Classification (Q)
|
93% |
2390
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3412
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6935
119.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8220
142.0 IPS |
