iPad Air (4th generation)
Geekbench AI Score
2708
Single Precision Score
4630
Half Precision Score
3840
Quantized Score
Geekbench AI 1.4.0-Beta1 Corporate for iOS AArch64
Result Information
| Upload Date | June 06 2025 07:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1223
227.5 IPS |
|
|
Image Classification (HP)
|
100% |
1925
358.0 IPS |
|
|
Image Classification (Q)
|
96% |
1364
254.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1075
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1722
27.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2143
34.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5555
6.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
11597
13.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
10144
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1301
103.2 IPS |
|
|
Object Detection (HP)
|
97% |
2129
169.5 IPS |
|
|
Object Detection (Q)
|
94% |
1564
124.6 IPS |
|
|
Face Detection (SP)
|
100% |
2422
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
4483
53.3 IPS |
|
|
Face Detection (Q)
|
100% |
2637
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4854
37.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
8943
69.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6459
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14021
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23795
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
20011
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2957
109.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4109
151.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3137
115.8 IPS |
|
|
Text Classification (SP)
|
100% |
2111
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3642
4.86 KIPS |
|
|
Text Classification (Q)
|
93% |
3623
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2170
37.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3876
67.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3887
67.2 IPS |
