iPad Air (4th generation)
Geekbench AI Score
2598
Single Precision Score
2996
Half Precision Score
2799
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 16 2026 02:27 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1021
189.8 IPS |
|
|
Image Classification (HP)
|
100% |
1039
193.2 IPS |
|
|
Image Classification (Q)
|
96% |
989
184.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1757
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1790
29.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1728
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6138
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
8793
10.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
7860
9.22 IPS |
|
|
Object Detection (SP)
|
100% |
1219
96.7 IPS |
|
|
Object Detection (HP)
|
100% |
1226
97.3 IPS |
|
|
Object Detection (Q)
|
92% |
1157
92.4 IPS |
|
|
Face Detection (SP)
|
100% |
3259
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
3830
45.5 IPS |
|
|
Face Detection (Q)
|
100% |
3241
38.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4805
37.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5675
43.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
5286
41.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13211
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13680
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13278
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2832
104.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3004
110.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2677
98.8 IPS |
|
|
Text Classification (SP)
|
100% |
2080
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3712
4.95 KIPS |
|
|
Text Classification (Q)
|
93% |
3716
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
858
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
878
15.1 IPS |
|
|
Machine Translation (Q)
|
98% |
842
14.6 IPS |
