iPad (11th generation)
Geekbench AI Score
3448
Single Precision Score
3374
Half Precision Score
3470
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 25 2026 08:27 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1133
210.6 IPS |
|
|
Image Classification (HP)
|
100% |
636
118.3 IPS |
|
|
Image Classification (Q)
|
94% |
946
176.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2310
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2340
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2226
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9488
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10404
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9995
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1061
84.1 IPS |
|
|
Object Detection (HP)
|
100% |
935
74.2 IPS |
|
|
Object Detection (Q)
|
91% |
1003
80.1 IPS |
|
|
Face Detection (SP)
|
100% |
5015
59.6 IPS |
|
|
Face Detection (HP)
|
100% |
4061
48.2 IPS |
|
|
Face Detection (Q)
|
100% |
4687
55.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6613
50.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6313
48.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6439
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17796
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
19502
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19056
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2958
109.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2956
109.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2732
100.9 IPS |
|
|
Text Classification (SP)
|
99% |
5277
7.04 KIPS |
|
|
Text Classification (HP)
|
99% |
8398
11.2 KIPS |
|
|
Text Classification (Q)
|
93% |
8313
11.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
981
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1065
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
920
15.9 IPS |
