iPad (11th generation)
Geekbench AI Score
3427
Single Precision Score
6246
Half Precision Score
5112
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 13 2026 01:31 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1312
243.9 IPS |
|
|
Image Classification (HP)
|
100% |
2615
486.3 IPS |
|
|
Image Classification (Q)
|
96% |
1803
336.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1415
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2671
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6473
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
15206
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13019
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1469
116.5 IPS |
|
|
Object Detection (HP)
|
97% |
2950
234.9 IPS |
|
|
Object Detection (Q)
|
94% |
2114
168.5 IPS |
|
|
Face Detection (SP)
|
100% |
3204
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
6199
73.7 IPS |
|
|
Face Detection (Q)
|
100% |
3554
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5958
45.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11696
90.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8141
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18601
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29182
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24235
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3801
140.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5112
188.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3923
144.9 IPS |
|
|
Text Classification (SP)
|
100% |
2752
3.67 KIPS |
|
|
Text Classification (HP)
|
99% |
4786
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4815
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3411
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7047
121.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6946
120.0 IPS |
