iPhone Air
Geekbench AI Score
9134
Single Precision Score
18068
Half Precision Score
16906
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | EASYGEEK-6 |
| Upload Date | March 30 2026 11:38 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3932
731.2 IPS |
|
|
Image Classification (HP)
|
100% |
8000
1.49 KIPS |
|
|
Image Classification (Q)
|
99% |
8063
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5365
87.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9010
146.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9376
152.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18298
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
49668
58.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
64305
75.4 IPS |
|
|
Object Detection (SP)
|
100% |
4104
325.5 IPS |
|
|
Object Detection (HP)
|
100% |
8280
656.7 IPS |
|
|
Object Detection (Q)
|
93% |
8937
712.8 IPS |
|
|
Face Detection (SP)
|
100% |
11431
135.8 IPS |
|
|
Face Detection (HP)
|
100% |
25291
300.5 IPS |
|
|
Face Detection (Q)
|
100% |
23560
279.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16159
124.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
33298
256.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
36288
283.3 IPS |
|
|
Style Transfer (SP)
|
100% |
40526
52.1 IPS |
|
|
Style Transfer (HP)
|
100% |
89920
115.6 IPS |
|
|
Style Transfer (Q)
|
96% |
113996
147.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9235
341.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18133
669.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20536
758.3 IPS |
|
|
Text Classification (SP)
|
99% |
6598
8.81 KIPS |
|
|
Text Classification (HP)
|
99% |
11215
15.0 KIPS |
|
|
Text Classification (Q)
|
93% |
11203
15.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
5595
96.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8126
140.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1958
33.8 IPS |
