iPad (11th generation)
Geekbench AI Score
3670
Single Precision Score
6595
Half Precision Score
5384
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | cwebb15 |
| Upload Date | April 10 2026 10:01 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1356
252.2 IPS |
|
|
Image Classification (HP)
|
100% |
2589
481.5 IPS |
|
|
Image Classification (Q)
|
96% |
1795
335.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1404
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2707
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6364
7.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
15516
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12902
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1492
118.4 IPS |
|
|
Object Detection (HP)
|
97% |
2938
233.9 IPS |
|
|
Object Detection (Q)
|
94% |
2109
168.1 IPS |
|
|
Face Detection (SP)
|
100% |
3285
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
6280
74.6 IPS |
|
|
Face Detection (Q)
|
100% |
3550
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5958
45.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11607
89.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8153
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18219
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29799
38.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24874
32.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3889
143.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5135
189.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3903
144.1 IPS |
|
|
Text Classification (SP)
|
99% |
5184
6.92 KIPS |
|
|
Text Classification (HP)
|
99% |
8445
11.3 KIPS |
|
|
Text Classification (Q)
|
93% |
8393
11.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
3414
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6574
113.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6565
113.5 IPS |
