iPad Air (4th generation)
Geekbench AI Score
2755
Single Precision Score
4659
Half Precision Score
3857
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 28 2025 09:29 AM |
| Views | 3 |
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% |
1240
230.7 IPS |
|
|
Image Classification (HP)
|
100% |
1922
357.4 IPS |
|
|
Image Classification (Q)
|
96% |
1362
254.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1073
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1710
27.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2134
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5744
6.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
12087
14.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
10642
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1298
102.9 IPS |
|
|
Object Detection (HP)
|
97% |
2130
169.6 IPS |
|
|
Object Detection (Q)
|
94% |
1567
124.9 IPS |
|
|
Face Detection (SP)
|
100% |
2426
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
4469
53.1 IPS |
|
|
Face Detection (Q)
|
100% |
2656
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4895
37.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
8844
68.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6455
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14614
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
24362
31.3 IPS |
|
|
Style Transfer (Q)
|
96% |
20065
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3183
117.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4189
154.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3140
115.9 IPS |
|
|
Text Classification (SP)
|
100% |
2101
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3612
4.82 KIPS |
|
|
Text Classification (Q)
|
93% |
3579
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2195
37.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3913
67.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3891
67.2 IPS |
