iPad Air (4th generation)
Geekbench AI Score
2681
Single Precision Score
3063
Half Precision Score
2895
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 20 2026 09:11 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPad Air (4th generation) |
| Model ID | iPad13,1 |
| Motherboard | J307AP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1100
204.5 IPS |
|
|
Image Classification (HP)
|
100% |
1090
202.8 IPS |
|
|
Image Classification (Q)
|
94% |
1050
196.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1719
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1809
29.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1753
28.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6119
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
8992
10.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
8171
9.58 IPS |
|
|
Object Detection (SP)
|
100% |
1250
99.2 IPS |
|
|
Object Detection (HP)
|
100% |
1238
98.2 IPS |
|
|
Object Detection (Q)
|
91% |
1198
95.8 IPS |
|
|
Face Detection (SP)
|
100% |
3463
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
3942
46.8 IPS |
|
|
Face Detection (Q)
|
100% |
3689
43.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4837
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5692
43.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
5363
41.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13291
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13811
17.8 IPS |
|
|
Style Transfer (Q)
|
96% |
13372
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2831
104.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2977
109.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2653
98.0 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3817
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3854
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
915
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
941
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
851
14.7 IPS |
