iPad (11th generation)
Geekbench AI Score
2900
Single Precision Score
3221
Half Precision Score
2863
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 13 2026 06:38 PM |
| Views | 5 |
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% |
711
132.2 IPS |
|
|
Image Classification (HP)
|
100% |
518
96.3 IPS |
|
|
Image Classification (Q)
|
94% |
710
132.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2415
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2463
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2363
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9422
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10309
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9741
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1047
83.1 IPS |
|
|
Object Detection (HP)
|
100% |
1049
83.2 IPS |
|
|
Object Detection (Q)
|
90% |
809
64.7 IPS |
|
|
Face Detection (SP)
|
100% |
3670
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
5492
65.3 IPS |
|
|
Face Detection (Q)
|
100% |
4509
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7597
58.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8045
62.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6287
49.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17449
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19446
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19148
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2708
100.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2965
109.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1494
55.2 IPS |
|
|
Text Classification (SP)
|
100% |
2785
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4785
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4847
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
679
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (Q)
|
98% |
713
12.3 IPS |
