iPad (11th generation)
Geekbench AI Score
2992
Single Precision Score
3129
Half Precision Score
3242
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 27 2026 11:54 AM |
| Views | 8 |
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% |
535
99.5 IPS |
|
|
Image Classification (HP)
|
100% |
519
96.5 IPS |
|
|
Image Classification (Q)
|
94% |
941
175.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2253
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2304
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2212
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9512
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10362
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9975
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1141
90.5 IPS |
|
|
Object Detection (HP)
|
100% |
1084
86.0 IPS |
|
|
Object Detection (Q)
|
91% |
927
74.1 IPS |
|
|
Face Detection (SP)
|
100% |
5022
59.7 IPS |
|
|
Face Detection (HP)
|
100% |
3956
47.0 IPS |
|
|
Face Detection (Q)
|
100% |
4747
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6514
50.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6751
52.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6407
50.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17720
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19472
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19109
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2794
103.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2833
104.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2595
95.8 IPS |
|
|
Text Classification (SP)
|
100% |
2761
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4762
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4724
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
986
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (Q)
|
98% |
936
16.2 IPS |
