iPad (11th generation)
Geekbench AI Score
3449
Single Precision Score
6254
Half Precision Score
5116
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 10 2026 11:03 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1358
252.6 IPS |
|
|
Image Classification (HP)
|
100% |
2638
490.6 IPS |
|
|
Image Classification (Q)
|
96% |
1810
338.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1404
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2673
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6421
7.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
14991
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12834
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1486
117.8 IPS |
|
|
Object Detection (HP)
|
97% |
2954
235.2 IPS |
|
|
Object Detection (Q)
|
94% |
2116
168.7 IPS |
|
|
Face Detection (SP)
|
100% |
3243
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
6228
74.0 IPS |
|
|
Face Detection (Q)
|
100% |
3540
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5991
46.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11768
91.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8144
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18609
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29168
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24256
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3833
141.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5135
189.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3920
144.7 IPS |
|
|
Text Classification (SP)
|
100% |
2755
3.68 KIPS |
|
|
Text Classification (HP)
|
99% |
4792
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4781
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3430
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7068
122.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7135
123.3 IPS |
