iPhone Air
Geekbench AI Score
5055
Single Precision Score
8275
Half Precision Score
6541
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | arobasefr |
| Upload Date | December 29 2025 05:57 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2325
432.5 IPS |
|
|
Image Classification (HP)
|
100% |
3640
676.8 IPS |
|
|
Image Classification (Q)
|
96% |
2441
455.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2071
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2989
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3403
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10169
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18555
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15422
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2444
193.8 IPS |
|
|
Object Detection (HP)
|
97% |
3990
317.6 IPS |
|
|
Object Detection (Q)
|
94% |
2762
220.1 IPS |
|
|
Face Detection (SP)
|
100% |
4341
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
8163
97.0 IPS |
|
|
Face Detection (Q)
|
100% |
4313
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8129
62.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13805
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9960
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24445
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37545
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30978
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5542
204.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7015
259.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4985
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
3582
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6446
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6404
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5326
91.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9777
168.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9546
165.0 IPS |
