iPhone Air
Geekbench AI Score
7496
Single Precision Score
14934
Half Precision Score
16552
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | aIpaca |
| Upload Date | March 19 2026 06:00 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
3911
727.3 IPS |
|
|
Image Classification (HP)
|
100% |
7790
1.45 KIPS |
|
|
Image Classification (Q)
|
99% |
7939
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5370
87.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8901
144.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9290
150.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17635
20.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
46514
54.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
58050
68.0 IPS |
|
|
Object Detection (SP)
|
100% |
2881
228.5 IPS |
|
|
Object Detection (HP)
|
100% |
7782
617.3 IPS |
|
|
Object Detection (Q)
|
93% |
8497
677.7 IPS |
|
|
Face Detection (SP)
|
100% |
11047
131.3 IPS |
|
|
Face Detection (HP)
|
100% |
19951
237.1 IPS |
|
|
Face Detection (Q)
|
100% |
21488
255.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12492
96.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
32793
252.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
35228
275.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32349
41.6 IPS |
|
|
Style Transfer (HP)
|
100% |
61168
78.6 IPS |
|
|
Style Transfer (Q)
|
96% |
80916
104.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6874
253.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15529
573.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16810
620.7 IPS |
|
|
Text Classification (SP)
|
100% |
3515
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6400
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6371
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4872
83.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5528
95.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6471
111.8 IPS |
