iPad Air (4th generation)
Geekbench AI Score
2776
Single Precision Score
12692
Half Precision Score
12278
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 12 2025 12:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1187
220.8 IPS |
|
|
Image Classification (HP)
|
100% |
4772
887.5 IPS |
|
|
Image Classification (Q)
|
96% |
4558
851.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1059
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8074
130.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8267
134.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5877
6.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
60804
70.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
58943
69.1 IPS |
|
|
Object Detection (SP)
|
100% |
1323
104.9 IPS |
|
|
Object Detection (HP)
|
99% |
5811
462.2 IPS |
|
|
Object Detection (Q)
|
91% |
4394
351.1 IPS |
|
|
Face Detection (SP)
|
100% |
2479
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
13907
165.2 IPS |
|
|
Face Detection (Q)
|
100% |
12499
148.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5039
38.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35597
274.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
36386
284.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14801
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
93083
119.7 IPS |
|
|
Style Transfer (Q)
|
96% |
90829
117.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3323
122.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17488
645.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17767
656.1 IPS |
|
|
Text Classification (SP)
|
100% |
2052
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2249
3.00 KIPS |
|
|
Text Classification (Q)
|
93% |
2123
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2212
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4399
75.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5120
88.5 IPS |
