iPad (11th generation)
Geekbench AI Score
3046
Single Precision Score
3133
Half Precision Score
3157
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 01 2026 03:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1059
196.9 IPS |
|
|
Image Classification (HP)
|
100% |
519
96.6 IPS |
|
|
Image Classification (Q)
|
96% |
855
159.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2348
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2321
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2229
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9528
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10467
12.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
10098
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1166
92.5 IPS |
|
|
Object Detection (HP)
|
100% |
1064
84.4 IPS |
|
|
Object Detection (Q)
|
92% |
937
74.8 IPS |
|
|
Face Detection (SP)
|
100% |
3666
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
5013
59.6 IPS |
|
|
Face Detection (Q)
|
100% |
4150
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6764
52.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6584
50.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
6636
51.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17569
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19511
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18934
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2946
108.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3027
111.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2676
98.8 IPS |
|
|
Text Classification (SP)
|
100% |
2772
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4756
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4743
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
701
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
734
12.6 IPS |
|
|
Machine Translation (Q)
|
98% |
826
14.3 IPS |
