iPad (11th generation)
Geekbench AI Score
3115
Single Precision Score
3260
Half Precision Score
2961
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 13 2026 01:38 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% |
1086
202.0 IPS |
|
|
Image Classification (HP)
|
100% |
667
124.1 IPS |
|
|
Image Classification (Q)
|
94% |
463
86.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2273
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2358
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2224
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9514
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10461
12.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
10127
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1187
94.2 IPS |
|
|
Object Detection (HP)
|
100% |
1086
86.1 IPS |
|
|
Object Detection (Q)
|
90% |
961
76.9 IPS |
|
|
Face Detection (SP)
|
100% |
3939
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
5464
64.9 IPS |
|
|
Face Detection (Q)
|
100% |
4217
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6544
50.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6516
50.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6736
52.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17619
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19435
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19054
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2943
108.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3048
112.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2723
100.5 IPS |
|
|
Text Classification (SP)
|
100% |
2771
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4794
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4731
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
752
13.0 IPS |
|
|
Machine Translation (Q)
|
98% |
742
12.8 IPS |
