iPad (11th generation)
Geekbench AI Score
3442
Single Precision Score
6268
Half Precision Score
5125
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | timk |
| Upload Date | December 31 2025 04:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1348
250.7 IPS |
|
|
Image Classification (HP)
|
100% |
2631
489.3 IPS |
|
|
Image Classification (Q)
|
96% |
1803
336.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1399
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2677
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6573
7.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
15405
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13141
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1474
116.9 IPS |
|
|
Object Detection (HP)
|
97% |
2967
236.2 IPS |
|
|
Object Detection (Q)
|
94% |
2118
168.9 IPS |
|
|
Face Detection (SP)
|
100% |
3185
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6188
73.5 IPS |
|
|
Face Detection (Q)
|
100% |
3541
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5899
45.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11670
90.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8145
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18807
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29254
37.6 IPS |
|
|
Style Transfer (Q)
|
96% |
24399
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3865
142.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5147
190.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3915
144.5 IPS |
|
|
Text Classification (SP)
|
100% |
2740
3.66 KIPS |
|
|
Text Classification (HP)
|
99% |
4786
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4762
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3414
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7093
122.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7102
122.7 IPS |
