iPad (11th generation)
Geekbench AI Score
3655
Single Precision Score
6585
Half Precision Score
5366
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 14 2026 09:53 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
1391
258.6 IPS |
|
|
Image Classification (HP)
|
100% |
2652
493.2 IPS |
|
|
Image Classification (Q)
|
96% |
1831
342.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1415
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2698
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6188
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
14762
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12728
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1486
117.8 IPS |
|
|
Object Detection (HP)
|
97% |
2964
236.0 IPS |
|
|
Object Detection (Q)
|
94% |
2111
168.2 IPS |
|
|
Face Detection (SP)
|
100% |
3238
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
6234
74.1 IPS |
|
|
Face Detection (Q)
|
100% |
3543
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5870
45.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11696
90.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8144
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18080
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29991
38.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24833
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3783
139.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5129
189.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3887
143.5 IPS |
|
|
Text Classification (SP)
|
99% |
5260
7.02 KIPS |
|
|
Text Classification (HP)
|
99% |
8332
11.1 KIPS |
|
|
Text Classification (Q)
|
93% |
8249
11.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
3440
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6581
113.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6492
112.2 IPS |
