iPad Air (4th generation)
Geekbench AI Score
2679
Single Precision Score
4754
Half Precision Score
3960
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 09:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1191
221.4 IPS |
|
|
Image Classification (HP)
|
100% |
2014
374.5 IPS |
|
|
Image Classification (Q)
|
96% |
1450
270.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1065
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1717
27.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2170
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5208
6.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
11332
13.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
10179
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1243
98.6 IPS |
|
|
Object Detection (HP)
|
97% |
2208
175.8 IPS |
|
|
Object Detection (Q)
|
94% |
1645
131.1 IPS |
|
|
Face Detection (SP)
|
100% |
2434
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
4607
54.7 IPS |
|
|
Face Detection (Q)
|
100% |
2700
32.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4844
37.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9314
72.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6730
52.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13790
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23538
30.3 IPS |
|
|
Style Transfer (Q)
|
96% |
20113
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2870
106.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4354
160.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3222
119.0 IPS |
|
|
Text Classification (SP)
|
100% |
2318
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3885
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3834
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2147
37.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3992
69.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3990
69.0 IPS |
