iPad (11th generation)
Geekbench AI Score
3694
Single Precision Score
6674
Half Precision Score
5391
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 01:25 AM |
| Views | 3 |
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% |
1405
261.3 IPS |
|
|
Image Classification (HP)
|
100% |
2640
490.9 IPS |
|
|
Image Classification (Q)
|
96% |
1837
342.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1423
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2704
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6345
7.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
15195
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12934
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1505
119.4 IPS |
|
|
Object Detection (HP)
|
97% |
2953
235.1 IPS |
|
|
Object Detection (Q)
|
94% |
2117
168.8 IPS |
|
|
Face Detection (SP)
|
100% |
3358
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
6274
74.6 IPS |
|
|
Face Detection (Q)
|
100% |
3560
42.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5996
46.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11767
91.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8188
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18425
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29944
38.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24830
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3788
139.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5439
200.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3941
145.5 IPS |
|
|
Text Classification (SP)
|
99% |
5174
6.91 KIPS |
|
|
Text Classification (HP)
|
99% |
8647
11.5 KIPS |
|
|
Text Classification (Q)
|
92% |
8108
10.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
3413
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6614
114.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6602
114.1 IPS |
