iPhone Air
Geekbench AI Score
7108
Single Precision Score
15115
Half Precision Score
13915
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | January 06 2026 09:04 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3996
743.2 IPS |
|
|
Image Classification (HP)
|
100% |
7815
1.45 KIPS |
|
|
Image Classification (Q)
|
97% |
7078
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5355
86.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8935
144.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9353
151.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17794
20.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
49073
57.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
52668
61.7 IPS |
|
|
Object Detection (SP)
|
100% |
3618
287.0 IPS |
|
|
Object Detection (HP)
|
100% |
7493
594.4 IPS |
|
|
Object Detection (Q)
|
92% |
7572
604.6 IPS |
|
|
Face Detection (SP)
|
100% |
11390
135.3 IPS |
|
|
Face Detection (HP)
|
100% |
23775
282.5 IPS |
|
|
Face Detection (Q)
|
100% |
17133
203.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13201
101.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
32080
247.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
34948
272.7 IPS |
|
|
Style Transfer (SP)
|
100% |
33943
43.6 IPS |
|
|
Style Transfer (HP)
|
100% |
68764
88.4 IPS |
|
|
Style Transfer (Q)
|
96% |
83426
107.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7235
267.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17418
643.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19105
705.5 IPS |
|
|
Text Classification (SP)
|
100% |
3502
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6582
8.78 KIPS |
|
|
Text Classification (Q)
|
93% |
6415
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1849
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4034
69.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1685
29.1 IPS |
