iPad Air (4th generation)
Geekbench AI Score
2433
Single Precision Score
11975
Half Precision Score
11589
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 06:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1187
220.8 IPS |
|
|
Image Classification (HP)
|
100% |
4526
841.7 IPS |
|
|
Image Classification (Q)
|
96% |
4651
868.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1061
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8046
130.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7913
128.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5439
6.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
60902
71.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
59187
69.4 IPS |
|
|
Object Detection (SP)
|
100% |
1245
98.8 IPS |
|
|
Object Detection (HP)
|
99% |
5426
431.6 IPS |
|
|
Object Detection (Q)
|
91% |
4726
377.6 IPS |
|
|
Face Detection (SP)
|
100% |
2435
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
10927
129.8 IPS |
|
|
Face Detection (Q)
|
100% |
10086
119.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4749
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35589
274.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
32446
253.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7923
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
95480
122.7 IPS |
|
|
Style Transfer (Q)
|
96% |
93788
121.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2954
109.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17918
661.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18993
701.3 IPS |
|
|
Text Classification (SP)
|
100% |
1409
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2452
3.27 KIPS |
|
|
Text Classification (Q)
|
93% |
1740
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2238
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3090
53.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4186
72.3 IPS |
