iPad (11th generation)
Geekbench AI Score
3091
Single Precision Score
3496
Half Precision Score
3065
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 27 2026 11:55 AM |
| Views | 10 |
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% |
755
140.3 IPS |
|
|
Image Classification (HP)
|
100% |
1019
189.6 IPS |
|
|
Image Classification (Q)
|
94% |
499
93.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2360
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2309
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2227
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9258
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10326
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9994
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1124
89.2 IPS |
|
|
Object Detection (HP)
|
100% |
1084
86.0 IPS |
|
|
Object Detection (Q)
|
91% |
999
79.9 IPS |
|
|
Face Detection (SP)
|
100% |
5104
60.6 IPS |
|
|
Face Detection (HP)
|
100% |
5381
63.9 IPS |
|
|
Face Detection (Q)
|
100% |
4883
58.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6541
50.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6693
51.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6795
53.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17672
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19801
25.5 IPS |
|
|
Style Transfer (Q)
|
96% |
19057
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2930
108.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2878
106.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2677
98.9 IPS |
|
|
Text Classification (SP)
|
100% |
2777
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4784
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4799
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
897
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1057
18.2 IPS |
|
|
Machine Translation (Q)
|
98% |
812
14.0 IPS |
