iPad Air (4th generation)
Geekbench AI Score
2706
Single Precision Score
4570
Half Precision Score
3794
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 09:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1197
222.6 IPS |
|
|
Image Classification (HP)
|
100% |
1862
346.3 IPS |
|
|
Image Classification (Q)
|
96% |
1332
248.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1028
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1639
26.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2104
34.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5710
6.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
11959
14.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
10567
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1281
101.6 IPS |
|
|
Object Detection (HP)
|
97% |
2065
164.4 IPS |
|
|
Object Detection (Q)
|
94% |
1527
121.7 IPS |
|
|
Face Detection (SP)
|
100% |
2364
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
4380
52.0 IPS |
|
|
Face Detection (Q)
|
100% |
2594
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4870
37.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
8862
68.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6351
49.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14463
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24205
31.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19977
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3139
115.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4104
151.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3117
115.1 IPS |
|
|
Text Classification (SP)
|
100% |
2093
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3599
4.80 KIPS |
|
|
Text Classification (Q)
|
93% |
3522
4.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2142
36.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3803
65.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3792
65.5 IPS |
