iPad Air (4th generation)
Geekbench AI Score
2756
Single Precision Score
12451
Half Precision Score
12613
Quantized Score
Geekbench AI 1.4.0-Beta1 Corporate for iOS AArch64
Result Information
| Upload Date | June 06 2025 07:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1230
228.8 IPS |
|
|
Image Classification (HP)
|
100% |
3824
711.2 IPS |
|
|
Image Classification (Q)
|
96% |
3877
724.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1074
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8092
131.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8497
137.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5492
6.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
62682
73.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
61833
72.5 IPS |
|
|
Object Detection (SP)
|
100% |
1302
103.3 IPS |
|
|
Object Detection (HP)
|
99% |
5888
468.4 IPS |
|
|
Object Detection (Q)
|
91% |
4994
399.0 IPS |
|
|
Face Detection (SP)
|
100% |
2484
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
14125
167.8 IPS |
|
|
Face Detection (Q)
|
100% |
11661
138.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4926
38.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35241
271.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
37543
293.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14393
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
101966
131.1 IPS |
|
|
Style Transfer (Q)
|
96% |
93650
120.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3138
115.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16683
616.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19037
702.9 IPS |
|
|
Text Classification (SP)
|
100% |
2111
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2003
2.67 KIPS |
|
|
Text Classification (Q)
|
93% |
2325
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2296
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4625
79.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5523
95.4 IPS |
