iPad Air (4th generation)
Geekbench AI Score
2591
Single Precision Score
2986
Half Precision Score
2791
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dimajcc |
| Upload Date | October 10 2025 10:42 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1040
193.4 IPS |
|
|
Image Classification (HP)
|
100% |
1046
194.5 IPS |
|
|
Image Classification (Q)
|
96% |
999
186.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1722
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1803
29.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1737
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6110
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
8785
10.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
7871
9.23 IPS |
|
|
Object Detection (SP)
|
100% |
1220
96.8 IPS |
|
|
Object Detection (HP)
|
100% |
1238
98.2 IPS |
|
|
Object Detection (Q)
|
92% |
1137
90.8 IPS |
|
|
Face Detection (SP)
|
100% |
3329
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
3878
46.1 IPS |
|
|
Face Detection (Q)
|
100% |
3251
38.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4780
36.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5687
43.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
5247
41.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13157
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13638
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
13285
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2813
103.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2987
110.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2657
98.1 IPS |
|
|
Text Classification (SP)
|
100% |
2070
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
3668
4.90 KIPS |
|
|
Text Classification (Q)
|
93% |
3732
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
823
14.2 IPS |
