iPad Air (4th generation)
Geekbench AI Score
2729
Single Precision Score
4681
Half Precision Score
3860
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | AAALSAADI |
| Upload Date | October 21 2025 01:42 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPad Air (4th generation) |
| Model ID | iPad13,2 |
| Motherboard | J308AP |
| 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% |
1201
223.3 IPS |
|
|
Image Classification (HP)
|
100% |
1927
358.4 IPS |
|
|
Image Classification (Q)
|
96% |
1360
254.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1067
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1743
28.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2131
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5708
6.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
11914
13.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
10615
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1285
101.9 IPS |
|
|
Object Detection (HP)
|
97% |
2123
169.0 IPS |
|
|
Object Detection (Q)
|
94% |
1560
124.4 IPS |
|
|
Face Detection (SP)
|
100% |
2409
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
4452
52.9 IPS |
|
|
Face Detection (Q)
|
100% |
2642
31.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4887
37.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
8970
69.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6441
50.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14461
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24320
31.3 IPS |
|
|
Style Transfer (Q)
|
96% |
20080
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3142
116.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4209
155.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3142
116.0 IPS |
|
|
Text Classification (SP)
|
100% |
2082
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3724
4.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3705
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2189
37.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3913
67.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3852
66.6 IPS |
