iPad Air (4th generation)
Geekbench AI Score
2809
Single Precision Score
11918
Half Precision Score
12127
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 08:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1242
231.0 IPS |
|
|
Image Classification (HP)
|
100% |
4520
840.6 IPS |
|
|
Image Classification (Q)
|
96% |
4804
897.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1062
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7891
127.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8310
134.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5751
6.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
60987
71.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
60874
71.3 IPS |
|
|
Object Detection (SP)
|
100% |
1337
106.0 IPS |
|
|
Object Detection (HP)
|
99% |
5405
430.0 IPS |
|
|
Object Detection (Q)
|
91% |
4685
374.3 IPS |
|
|
Face Detection (SP)
|
100% |
2504
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
11712
139.2 IPS |
|
|
Face Detection (Q)
|
100% |
10081
119.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5045
38.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
36800
283.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
35883
280.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14884
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
99596
128.0 IPS |
|
|
Style Transfer (Q)
|
96% |
90387
116.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3187
117.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17719
654.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18957
700.0 IPS |
|
|
Text Classification (SP)
|
100% |
2177
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (Q)
|
93% |
2329
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2316
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2839
48.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4186
72.3 IPS |
