iPad (11th generation)
Geekbench AI Score
3448
Single Precision Score
6320
Half Precision Score
5126
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | ChrisSack |
| Upload Date | January 26 2026 07:04 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1355
252.0 IPS |
|
|
Image Classification (HP)
|
100% |
2632
489.5 IPS |
|
|
Image Classification (Q)
|
96% |
1828
341.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1452
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2188
35.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2681
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6371
7.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
15313
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12927
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1464
116.1 IPS |
|
|
Object Detection (HP)
|
97% |
2957
235.4 IPS |
|
|
Object Detection (Q)
|
94% |
2122
169.2 IPS |
|
|
Face Detection (SP)
|
100% |
3231
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
6191
73.6 IPS |
|
|
Face Detection (Q)
|
100% |
3537
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6000
46.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11699
90.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8259
64.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18503
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29141
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24249
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3849
142.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5424
200.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3911
144.4 IPS |
|
|
Text Classification (SP)
|
100% |
2774
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4770
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4782
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3384
58.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7145
123.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7036
121.6 IPS |
