iPad (11th generation)
Geekbench AI Score
2906
Single Precision Score
3186
Half Precision Score
3017
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 13 2026 06:38 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
525
97.7 IPS |
|
|
Image Classification (HP)
|
100% |
631
117.3 IPS |
|
|
Image Classification (Q)
|
94% |
710
132.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2384
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2430
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2361
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9366
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10316
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9733
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1074
85.2 IPS |
|
|
Object Detection (HP)
|
100% |
876
69.5 IPS |
|
|
Object Detection (Q)
|
90% |
845
67.6 IPS |
|
|
Face Detection (SP)
|
100% |
5018
59.6 IPS |
|
|
Face Detection (HP)
|
100% |
5519
65.6 IPS |
|
|
Face Detection (Q)
|
100% |
4120
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7228
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7834
60.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6574
51.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17735
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19485
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19137
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2845
105.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2722
100.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2466
91.1 IPS |
|
|
Text Classification (SP)
|
100% |
2763
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4771
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4760
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
676
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
711
12.2 IPS |
|
|
Machine Translation (Q)
|
98% |
745
12.9 IPS |
