iPad Air (4th generation)
Geekbench AI Score
2510
Single Precision Score
2877
Half Precision Score
2689
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | decryp7 |
| Upload Date | September 27 2025 02:22 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1230
228.8 IPS |
|
|
Image Classification (HP)
|
100% |
899
167.1 IPS |
|
|
Image Classification (Q)
|
96% |
1178
220.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1183
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1914
31.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1210
19.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6466
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
8337
9.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
7365
8.64 IPS |
|
|
Object Detection (SP)
|
100% |
1090
86.5 IPS |
|
|
Object Detection (HP)
|
100% |
1352
107.2 IPS |
|
|
Object Detection (Q)
|
92% |
1134
90.5 IPS |
|
|
Face Detection (SP)
|
100% |
2428
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
3795
45.1 IPS |
|
|
Face Detection (Q)
|
100% |
3392
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4879
37.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5228
40.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
3556
27.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12010
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11329
14.6 IPS |
|
|
Style Transfer (Q)
|
96% |
9129
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2889
106.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1756
64.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3098
114.4 IPS |
|
|
Text Classification (SP)
|
100% |
1755
2.34 KIPS |
|
|
Text Classification (HP)
|
99% |
3475
4.64 KIPS |
|
|
Text Classification (Q)
|
93% |
3489
4.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1344
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1464
25.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1398
24.2 IPS |
