iPad (11th generation)
Geekbench AI Score
3005
Single Precision Score
3440
Half Precision Score
3123
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 28 2026 11:37 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% |
736
136.8 IPS |
|
|
Image Classification (HP)
|
100% |
990
184.1 IPS |
|
|
Image Classification (Q)
|
94% |
948
177.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2428
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2464
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2365
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9270
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10329
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9725
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1090
86.4 IPS |
|
|
Object Detection (HP)
|
100% |
1050
83.3 IPS |
|
|
Object Detection (Q)
|
91% |
811
64.8 IPS |
|
|
Face Detection (SP)
|
100% |
3790
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
5477
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
3525
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7576
58.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6443
49.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6312
49.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17590
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19548
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19141
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2702
99.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2852
105.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2483
91.7 IPS |
|
|
Text Classification (SP)
|
100% |
2793
3.73 KIPS |
|
|
Text Classification (HP)
|
99% |
4752
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4791
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
873
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
940
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
987
17.1 IPS |
