iPhone Air
Geekbench AI Score
4948
Single Precision Score
8078
Half Precision Score
6340
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | LouisAI |
| Upload Date | January 28 2026 02:41 PM |
| Views | 4 |
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% |
2329
433.1 IPS |
|
|
Image Classification (HP)
|
100% |
3747
696.8 IPS |
|
|
Image Classification (Q)
|
96% |
2402
448.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2941
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3330
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9739
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17718
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14681
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2420
192.0 IPS |
|
|
Object Detection (HP)
|
97% |
3889
309.6 IPS |
|
|
Object Detection (Q)
|
94% |
2683
213.8 IPS |
|
|
Face Detection (SP)
|
100% |
4162
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
7878
93.6 IPS |
|
|
Face Detection (Q)
|
100% |
4073
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8216
63.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13704
105.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9633
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23652
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36070
46.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30059
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5319
196.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6772
250.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4810
177.6 IPS |
|
|
Text Classification (SP)
|
100% |
3504
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6442
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6421
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
5020
86.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9175
158.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9149
158.1 IPS |
