iPad Air (4th generation)
Geekbench AI Score
2656
Single Precision Score
4580
Half Precision Score
3798
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dimajcc |
| Upload Date | October 10 2025 10:37 AM |
| Views | 7 |
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 | iPad13,1 |
| 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% |
1214
225.7 IPS |
|
|
Image Classification (HP)
|
100% |
1914
355.9 IPS |
|
|
Image Classification (Q)
|
96% |
1352
252.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1015
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1751
28.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2109
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5456
6.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
11334
13.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
10228
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
1296
102.8 IPS |
|
|
Object Detection (HP)
|
97% |
2096
166.8 IPS |
|
|
Object Detection (Q)
|
94% |
1551
123.6 IPS |
|
|
Face Detection (SP)
|
100% |
2335
27.7 IPS |
|
|
Face Detection (HP)
|
100% |
4289
51.0 IPS |
|
|
Face Detection (Q)
|
100% |
2549
30.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4807
37.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9019
69.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6435
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13857
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23820
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
19871
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2918
107.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4102
151.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3117
115.1 IPS |
|
|
Text Classification (SP)
|
100% |
2117
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3693
4.93 KIPS |
|
|
Text Classification (Q)
|
93% |
3674
4.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2089
36.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3658
63.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3708
64.1 IPS |
