iPad Air (4th generation)
Geekbench AI Score
2774
Single Precision Score
12949
Half Precision Score
13001
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 05 2025 07:52 AM |
| Views | 1 |
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% |
1228
228.4 IPS |
|
|
Image Classification (HP)
|
100% |
4444
826.4 IPS |
|
|
Image Classification (Q)
|
96% |
4618
862.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1071
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8231
133.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8425
136.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5721
6.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
63499
74.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
61756
72.4 IPS |
|
|
Object Detection (SP)
|
100% |
1286
102.0 IPS |
|
|
Object Detection (HP)
|
99% |
5927
471.5 IPS |
|
|
Object Detection (Q)
|
91% |
4990
398.7 IPS |
|
|
Face Detection (SP)
|
100% |
2459
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
14092
167.4 IPS |
|
|
Face Detection (Q)
|
100% |
11985
142.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4950
38.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
35939
276.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
37596
293.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14764
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
101404
130.4 IPS |
|
|
Style Transfer (Q)
|
96% |
96527
124.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3260
120.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17673
652.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20668
763.2 IPS |
|
|
Text Classification (SP)
|
100% |
2093
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2338
3.12 KIPS |
|
|
Text Classification (Q)
|
93% |
2359
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2279
39.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4538
78.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5430
93.8 IPS |
