iPad Air (4th generation)
Geekbench AI Score
1647
Single Precision Score
10163
Half Precision Score
8344
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 21 2025 03:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| 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% |
769
142.9 IPS |
|
|
Image Classification (HP)
|
100% |
4584
852.5 IPS |
|
|
Image Classification (Q)
|
96% |
4411
823.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
554
8.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
3867
62.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
442
7.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
4808
5.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
57401
67.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59833
70.1 IPS |
|
|
Object Detection (SP)
|
100% |
875
69.4 IPS |
|
|
Object Detection (HP)
|
99% |
5005
398.1 IPS |
|
|
Object Detection (Q)
|
93% |
4455
355.4 IPS |
|
|
Face Detection (SP)
|
100% |
1455
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
10968
130.3 IPS |
|
|
Face Detection (Q)
|
100% |
10424
123.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3055
23.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
34573
266.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
37934
296.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8764
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
91550
117.7 IPS |
|
|
Style Transfer (Q)
|
96% |
95716
123.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2318
85.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13560
500.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16401
605.6 IPS |
|
|
Text Classification (SP)
|
100% |
874
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
2461
3.28 KIPS |
|
|
Text Classification (Q)
|
93% |
2551
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1039
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1994
34.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1989
34.4 IPS |
