iPhone Air
Geekbench AI Score
5323
Single Precision Score
8545
Half Precision Score
6717
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | nvsnvs32 |
| Upload Date | March 24 2026 08:57 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
2346
436.2 IPS |
|
|
Image Classification (HP)
|
100% |
2762
513.6 IPS |
|
|
Image Classification (Q)
|
94% |
1917
358.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2177
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3478
56.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8536
9.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
16576
19.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
14088
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2665
211.4 IPS |
|
|
Object Detection (HP)
|
98% |
4126
328.3 IPS |
|
|
Object Detection (Q)
|
88% |
2720
218.0 IPS |
|
|
Face Detection (SP)
|
100% |
4730
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
9721
115.5 IPS |
|
|
Face Detection (Q)
|
100% |
4608
54.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7943
61.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11608
89.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8222
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22157
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41460
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33139
42.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5154
190.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9589
354.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6204
229.1 IPS |
|
|
Text Classification (SP)
|
99% |
6968
9.30 KIPS |
|
|
Text Classification (HP)
|
99% |
11956
16.0 KIPS |
|
|
Text Classification (Q)
|
93% |
11096
14.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
5262
90.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8736
150.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8476
146.5 IPS |
