iPhone Air
Geekbench AI Score
4751
Single Precision Score
7897
Half Precision Score
6178
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | LouisAI |
| Upload Date | January 28 2026 02:37 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPhone Air |
| Model ID | iPhone18,4 |
| Motherboard | D23AP |
| CPU Information | |
|---|---|
| Name | Apple A19 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2243
417.1 IPS |
|
|
Image Classification (HP)
|
100% |
3709
689.7 IPS |
|
|
Image Classification (Q)
|
96% |
2417
451.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2023
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2897
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3322
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9523
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17238
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14576
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2352
186.5 IPS |
|
|
Object Detection (HP)
|
97% |
3866
307.8 IPS |
|
|
Object Detection (Q)
|
94% |
2518
200.7 IPS |
|
|
Face Detection (SP)
|
100% |
4044
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
7762
92.2 IPS |
|
|
Face Detection (Q)
|
100% |
3942
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7872
60.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13021
100.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8836
69.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21775
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35300
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29196
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5196
191.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6696
247.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4865
179.6 IPS |
|
|
Text Classification (SP)
|
100% |
3491
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6415
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6371
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4594
79.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8606
148.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8725
150.8 IPS |
