iPad (11th generation)
Geekbench AI Score
3070
Single Precision Score
3141
Half Precision Score
3203
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | timk |
| Upload Date | December 31 2025 04:32 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1023
190.3 IPS |
|
|
Image Classification (HP)
|
100% |
524
97.5 IPS |
|
|
Image Classification (Q)
|
96% |
895
167.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2319
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2326
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2214
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9722
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
10340
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10182
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1081
85.7 IPS |
|
|
Object Detection (HP)
|
100% |
1022
81.0 IPS |
|
|
Object Detection (Q)
|
92% |
968
77.2 IPS |
|
|
Face Detection (SP)
|
100% |
4565
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
4991
59.3 IPS |
|
|
Face Detection (Q)
|
100% |
4191
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6773
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6382
49.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6635
51.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17538
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19459
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18929
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2881
106.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2997
110.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2738
101.1 IPS |
|
|
Text Classification (SP)
|
100% |
2777
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4801
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4860
6.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
689
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
815
14.0 IPS |
|
|
Machine Translation (Q)
|
98% |
831
14.4 IPS |
