iPad Air (4th generation)
Geekbench AI Score
2322
Single Precision Score
10591
Half Precision Score
10124
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 25 2025 04:19 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1235
229.6 IPS |
|
|
Image Classification (HP)
|
100% |
4433
824.3 IPS |
|
|
Image Classification (Q)
|
96% |
4810
898.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1126
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8496
137.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7116
115.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4757
5.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
45062
52.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
43779
51.3 IPS |
|
|
Object Detection (SP)
|
100% |
819
65.0 IPS |
|
|
Object Detection (HP)
|
99% |
5970
474.9 IPS |
|
|
Object Detection (Q)
|
91% |
5531
442.0 IPS |
|
|
Face Detection (SP)
|
100% |
2451
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
12385
147.2 IPS |
|
|
Face Detection (Q)
|
100% |
9142
108.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4778
36.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
38924
299.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
29246
228.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12508
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
53541
68.8 IPS |
|
|
Style Transfer (Q)
|
96% |
57400
74.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2586
95.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14857
548.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16001
590.8 IPS |
|
|
Text Classification (SP)
|
100% |
1692
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1677
2.24 KIPS |
|
|
Text Classification (Q)
|
93% |
1864
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1316
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2726
47.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2983
51.6 IPS |
