iPad Air (4th generation)
Geekbench AI Score
2452
Single Precision Score
2843
Half Precision Score
2534
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jankkhvej |
| Upload Date | March 11 2025 09:20 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1063
197.8 IPS |
|
|
Image Classification (HP)
|
100% |
1039
193.3 IPS |
|
|
Image Classification (Q)
|
97% |
915
170.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1269
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1575
25.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1616
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6122
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
8794
10.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
7623
8.94 IPS |
|
|
Object Detection (SP)
|
100% |
1235
97.9 IPS |
|
|
Object Detection (HP)
|
100% |
1251
99.2 IPS |
|
|
Object Detection (Q)
|
91% |
1050
83.9 IPS |
|
|
Face Detection (SP)
|
100% |
3256
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
3792
45.1 IPS |
|
|
Face Detection (Q)
|
100% |
2708
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4844
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5540
42.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
4779
37.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13102
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13597
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
12834
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2817
104.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2923
107.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2432
89.8 IPS |
|
|
Text Classification (SP)
|
100% |
2060
2.75 KIPS |
|
|
Text Classification (HP)
|
100% |
3532
4.71 KIPS |
|
|
Text Classification (Q)
|
93% |
3510
4.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
650
11.2 IPS |
|
|
Machine Translation (Q)
|
98% |
651
11.2 IPS |
