iPad Air (4th generation)
Geekbench AI Score
2630
Single Precision Score
4546
Half Precision Score
3775
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 06 2025 04:39 PM |
| Views | 2 |
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% |
1211
225.2 IPS |
|
|
Image Classification (HP)
|
100% |
1924
357.7 IPS |
|
|
Image Classification (Q)
|
96% |
1361
254.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1024
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1699
27.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2109
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5305
6.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
11048
12.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9763
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1275
101.1 IPS |
|
|
Object Detection (HP)
|
97% |
2099
167.1 IPS |
|
|
Object Detection (Q)
|
94% |
1551
123.6 IPS |
|
|
Face Detection (SP)
|
100% |
2351
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
4312
51.2 IPS |
|
|
Face Detection (Q)
|
100% |
2555
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4753
36.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9027
69.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6415
50.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13468
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23426
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19862
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2855
105.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4053
149.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3111
114.9 IPS |
|
|
Text Classification (SP)
|
100% |
2098
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3637
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3616
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2099
36.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3707
64.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3701
64.0 IPS |
