iPad Air (4th generation)
Geekbench AI Score
2680
Single Precision Score
12877
Half Precision Score
12996
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 24 2026 11:22 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1141
212.2 IPS |
|
|
Image Classification (HP)
|
100% |
4835
899.2 IPS |
|
|
Image Classification (Q)
|
96% |
4986
931.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1018
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7972
129.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8319
134.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5138
5.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
59542
69.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
59130
69.3 IPS |
|
|
Object Detection (SP)
|
100% |
1238
98.2 IPS |
|
|
Object Detection (HP)
|
99% |
6018
478.7 IPS |
|
|
Object Detection (Q)
|
91% |
5584
446.2 IPS |
|
|
Face Detection (SP)
|
100% |
2440
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
12160
144.5 IPS |
|
|
Face Detection (Q)
|
100% |
10895
129.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4831
37.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
38357
295.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
41079
321.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14127
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
106539
137.0 IPS |
|
|
Style Transfer (Q)
|
96% |
100258
129.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2977
109.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20234
747.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20587
760.2 IPS |
|
|
Text Classification (SP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
2441
3.26 KIPS |
|
|
Text Classification (Q)
|
93% |
2479
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2225
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3699
63.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4383
75.7 IPS |
