iPad (11th generation)
Geekbench AI Score
1729
Single Precision Score
3081
Half Precision Score
2515
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 17 2026 04:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
668
124.1 IPS |
|
|
Image Classification (HP)
|
100% |
1308
243.2 IPS |
|
|
Image Classification (Q)
|
96% |
810
151.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
745
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1059
17.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1184
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3198
3.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
7309
8.53 IPS |
|
|
Pose Estimation (Q)
|
95% |
5715
6.70 IPS |
|
|
Object Detection (SP)
|
100% |
627
49.8 IPS |
|
|
Object Detection (HP)
|
97% |
1488
118.5 IPS |
|
|
Object Detection (Q)
|
94% |
1054
84.0 IPS |
|
|
Face Detection (SP)
|
100% |
1854
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
3065
36.4 IPS |
|
|
Face Detection (Q)
|
100% |
1723
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2801
21.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
4804
37.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
4048
31.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9274
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13193
17.0 IPS |
|
|
Style Transfer (Q)
|
96% |
12264
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1773
65.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2648
97.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2005
74.0 IPS |
|
|
Text Classification (SP)
|
100% |
1478
1.97 KIPS |
|
|
Text Classification (HP)
|
99% |
2550
3.40 KIPS |
|
|
Text Classification (Q)
|
93% |
2529
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1896
32.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3901
67.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4053
70.0 IPS |
