iPad (11th generation)
Geekbench AI Score
3417
Single Precision Score
3661
Half Precision Score
3452
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | cwebb15 |
| Upload Date | April 10 2026 10:04 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1079
200.7 IPS |
|
|
Image Classification (HP)
|
100% |
1021
189.8 IPS |
|
|
Image Classification (Q)
|
94% |
944
176.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2319
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2346
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2154
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9671
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
10404
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10029
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1105
87.7 IPS |
|
|
Object Detection (HP)
|
100% |
1079
85.6 IPS |
|
|
Object Detection (Q)
|
91% |
973
77.8 IPS |
|
|
Face Detection (SP)
|
100% |
4923
58.5 IPS |
|
|
Face Detection (HP)
|
100% |
5298
62.9 IPS |
|
|
Face Detection (Q)
|
100% |
4852
57.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6630
51.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6429
49.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7005
54.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17651
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19678
25.3 IPS |
|
|
Style Transfer (Q)
|
96% |
19077
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2784
102.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2988
110.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2707
100.0 IPS |
|
|
Text Classification (SP)
|
99% |
5138
6.86 KIPS |
|
|
Text Classification (HP)
|
99% |
8334
11.1 KIPS |
|
|
Text Classification (Q)
|
93% |
8365
11.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
985
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
964
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
826
14.3 IPS |
