iPad (11th generation)
Geekbench AI Score
3448
Single Precision Score
6266
Half Precision Score
5106
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 13 2026 01:31 PM |
| Views | 5 |
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% |
1361
253.1 IPS |
|
|
Image Classification (HP)
|
100% |
2571
478.2 IPS |
|
|
Image Classification (Q)
|
96% |
1804
336.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1403
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2675
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6391
7.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
14973
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12751
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1482
117.6 IPS |
|
|
Object Detection (HP)
|
97% |
2945
234.5 IPS |
|
|
Object Detection (Q)
|
94% |
2112
168.3 IPS |
|
|
Face Detection (SP)
|
100% |
3263
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
6210
73.8 IPS |
|
|
Face Detection (Q)
|
100% |
3532
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5976
46.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11770
91.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8158
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18282
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29185
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24235
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3859
142.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5174
191.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3908
144.3 IPS |
|
|
Text Classification (SP)
|
100% |
2763
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4763
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4794
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3455
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7427
128.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7086
122.5 IPS |
