iPad (11th generation)
Geekbench AI Score
3446
Single Precision Score
22622
Half Precision Score
25977
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | timk |
| Upload Date | December 31 2025 04:35 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
9188
1.71 KIPS |
|
|
Image Classification (Q)
|
97% |
11686
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1396
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16349
265.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
17036
276.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6615
7.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
94874
110.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
103215
121.0 IPS |
|
|
Object Detection (SP)
|
100% |
1490
118.2 IPS |
|
|
Object Detection (HP)
|
100% |
12329
977.9 IPS |
|
|
Object Detection (Q)
|
91% |
13969
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3202
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
27400
325.6 IPS |
|
|
Face Detection (Q)
|
100% |
38710
460.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5900
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
71995
554.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
91574
716.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18852
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
177892
228.7 IPS |
|
|
Style Transfer (Q)
|
96% |
171331
221.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3858
142.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33346
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35618
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2750
3.67 KIPS |
|
|
Text Classification (HP)
|
100% |
2392
3.19 KIPS |
|
|
Text Classification (Q)
|
93% |
2773
3.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3397
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7140
123.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8129
140.5 IPS |
