iPad Air (4th generation)
Geekbench AI Score
2700
Single Precision Score
4640
Half Precision Score
3840
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 13 2025 05:45 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1226
228.0 IPS |
|
|
Image Classification (HP)
|
100% |
1920
357.0 IPS |
|
|
Image Classification (Q)
|
96% |
1368
255.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1054
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1721
27.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2130
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5607
6.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
11571
13.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
10308
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1286
102.0 IPS |
|
|
Object Detection (HP)
|
97% |
2117
168.5 IPS |
|
|
Object Detection (Q)
|
94% |
1557
124.1 IPS |
|
|
Face Detection (SP)
|
100% |
2398
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
4412
52.4 IPS |
|
|
Face Detection (Q)
|
100% |
2619
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4844
37.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
8830
68.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6437
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14125
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24011
30.9 IPS |
|
|
Style Transfer (Q)
|
96% |
19976
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2985
110.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4366
161.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3165
116.9 IPS |
|
|
Text Classification (SP)
|
100% |
2100
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3654
4.88 KIPS |
|
|
Text Classification (Q)
|
93% |
3651
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2155
37.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3832
66.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3840
66.4 IPS |
