iPad Air (4th generation)
Geekbench AI Score
2341
Single Precision Score
3866
Half Precision Score
3502
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 12:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad Air (4th generation) |
| Model ID | iPad13,2 |
| Motherboard | J308AP |
| 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% |
1165
216.7 IPS |
|
|
Image Classification (HP)
|
100% |
1874
348.5 IPS |
|
|
Image Classification (Q)
|
96% |
1350
252.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1017
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1435
23.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2123
34.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4705
5.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
6839
7.98 IPS |
|
|
Pose Estimation (Q)
|
95% |
7736
9.07 IPS |
|
|
Object Detection (SP)
|
100% |
849
67.4 IPS |
|
|
Object Detection (HP)
|
97% |
2122
168.9 IPS |
|
|
Object Detection (Q)
|
94% |
1546
123.2 IPS |
|
|
Face Detection (SP)
|
100% |
2372
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
4429
52.6 IPS |
|
|
Face Detection (Q)
|
100% |
2534
30.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4901
37.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
6856
53.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6659
52.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12568
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14157
18.2 IPS |
|
|
Style Transfer (Q)
|
96% |
13000
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1951
72.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3986
147.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3011
111.2 IPS |
|
|
Text Classification (SP)
|
100% |
1774
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
3559
4.75 KIPS |
|
|
Text Classification (Q)
|
93% |
3546
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2074
35.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3140
54.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3465
59.9 IPS |
