iPad Air (4th generation)
Geekbench AI Score
2552
Single Precision Score
4617
Half Precision Score
3858
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 12:32 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1144
212.7 IPS |
|
|
Image Classification (HP)
|
100% |
2006
373.0 IPS |
|
|
Image Classification (Q)
|
96% |
1438
268.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
971
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1693
27.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2120
34.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4811
5.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
10692
12.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
9393
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1211
96.0 IPS |
|
|
Object Detection (HP)
|
97% |
2179
173.5 IPS |
|
|
Object Detection (Q)
|
94% |
1622
129.3 IPS |
|
|
Face Detection (SP)
|
100% |
2368
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
4421
52.5 IPS |
|
|
Face Detection (Q)
|
100% |
2581
30.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4697
36.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9246
71.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6633
51.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12840
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22623
29.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19493
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2667
98.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4075
150.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3178
117.3 IPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3834
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3826
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2071
35.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3855
66.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3878
67.0 IPS |
