iPad (11th generation)
Geekbench AI Score
2810
Single Precision Score
3101
Half Precision Score
2875
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 10 2026 11:06 AM |
| Views | 4 |
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% |
533
99.0 IPS |
|
|
Image Classification (HP)
|
100% |
556
103.4 IPS |
|
|
Image Classification (Q)
|
94% |
460
85.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2407
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2287
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2364
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9394
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10351
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9811
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1022
81.1 IPS |
|
|
Object Detection (HP)
|
100% |
1048
83.1 IPS |
|
|
Object Detection (Q)
|
90% |
1001
80.1 IPS |
|
|
Face Detection (SP)
|
100% |
3783
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
3494
41.5 IPS |
|
|
Face Detection (Q)
|
100% |
3474
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6654
51.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8023
61.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6404
50.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17480
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19394
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
19077
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2678
98.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2858
105.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2543
93.9 IPS |
|
|
Text Classification (SP)
|
100% |
2792
3.73 KIPS |
|
|
Text Classification (HP)
|
99% |
4810
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4781
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
759
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
799
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
701
12.1 IPS |
