iPhone Air
Geekbench AI Score
8099
Single Precision Score
15925
Half Precision Score
17109
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | VenomF5 |
| Upload Date | February 13 2026 02:42 AM |
| Views | 9 |
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% |
3923
729.6 IPS |
|
|
Image Classification (HP)
|
100% |
7834
1.46 KIPS |
|
|
Image Classification (Q)
|
99% |
7861
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5373
87.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8903
144.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9280
150.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18022
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
48071
56.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
62391
73.1 IPS |
|
|
Object Detection (SP)
|
100% |
4080
323.6 IPS |
|
|
Object Detection (HP)
|
100% |
8073
640.3 IPS |
|
|
Object Detection (Q)
|
93% |
8763
698.9 IPS |
|
|
Face Detection (SP)
|
100% |
11691
138.9 IPS |
|
|
Face Detection (HP)
|
100% |
24562
291.8 IPS |
|
|
Face Detection (Q)
|
100% |
23143
275.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15976
123.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
32928
253.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
35005
273.3 IPS |
|
|
Style Transfer (SP)
|
100% |
34108
43.8 IPS |
|
|
Style Transfer (HP)
|
100% |
67797
87.2 IPS |
|
|
Style Transfer (Q)
|
96% |
85849
110.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7243
267.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17480
645.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18391
679.1 IPS |
|
|
Text Classification (SP)
|
100% |
3502
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6432
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6553
8.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4854
83.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6290
108.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6432
111.2 IPS |
