iPad (11th generation)
Geekbench AI Score
3108
Single Precision Score
3255
Half Precision Score
2930
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 28 2026 11:37 AM |
| Views | 7 |
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% |
715
133.0 IPS |
|
|
Image Classification (HP)
|
100% |
519
96.5 IPS |
|
|
Image Classification (Q)
|
94% |
500
93.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2402
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2452
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2370
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9383
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10273
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9816
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1027
81.5 IPS |
|
|
Object Detection (HP)
|
100% |
980
77.7 IPS |
|
|
Object Detection (Q)
|
91% |
898
71.8 IPS |
|
|
Face Detection (SP)
|
100% |
5242
62.3 IPS |
|
|
Face Detection (HP)
|
100% |
5377
63.9 IPS |
|
|
Face Detection (Q)
|
100% |
3548
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7241
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
7788
60.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6847
53.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17587
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19527
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19062
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2777
102.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2830
104.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2477
91.5 IPS |
|
|
Text Classification (SP)
|
100% |
2782
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4805
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4779
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
987
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
939
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
817
14.1 IPS |
