iPad (11th generation)
Geekbench AI Score
3464
Single Precision Score
6255
Half Precision Score
5127
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | icemc |
| Upload Date | January 23 2026 09:41 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1345
250.1 IPS |
|
|
Image Classification (HP)
|
100% |
2636
490.3 IPS |
|
|
Image Classification (Q)
|
96% |
1811
338.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1407
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2677
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6569
7.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
15441
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13111
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1477
117.1 IPS |
|
|
Object Detection (HP)
|
97% |
2965
236.0 IPS |
|
|
Object Detection (Q)
|
94% |
2119
168.9 IPS |
|
|
Face Detection (SP)
|
100% |
3255
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
6157
73.2 IPS |
|
|
Face Detection (Q)
|
100% |
3527
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5990
46.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11766
91.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8173
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18721
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29193
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24297
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3857
142.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5093
188.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3906
144.2 IPS |
|
|
Text Classification (SP)
|
100% |
2801
3.74 KIPS |
|
|
Text Classification (HP)
|
99% |
4737
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4757
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3438
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7072
122.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7165
123.8 IPS |
