iPhone Air
Geekbench AI Score
8709
Single Precision Score
16858
Half Precision Score
18480
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ebarrera |
| Upload Date | March 20 2026 08:01 PM |
| Views | 7 |
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% |
3942
733.0 IPS |
|
|
Image Classification (HP)
|
100% |
8009
1.49 KIPS |
|
|
Image Classification (Q)
|
99% |
8136
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5352
86.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9026
146.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9354
151.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18395
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
49797
58.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
64155
75.2 IPS |
|
|
Object Detection (SP)
|
100% |
4094
324.8 IPS |
|
|
Object Detection (HP)
|
100% |
8300
658.4 IPS |
|
|
Object Detection (Q)
|
93% |
9058
722.5 IPS |
|
|
Face Detection (SP)
|
100% |
11520
136.9 IPS |
|
|
Face Detection (HP)
|
100% |
25357
301.3 IPS |
|
|
Face Detection (Q)
|
100% |
23522
279.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16114
124.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
33210
255.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
35619
278.1 IPS |
|
|
Style Transfer (SP)
|
100% |
35850
46.1 IPS |
|
|
Style Transfer (HP)
|
100% |
71094
91.4 IPS |
|
|
Style Transfer (Q)
|
96% |
89485
115.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7230
267.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18301
675.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19510
720.4 IPS |
|
|
Text Classification (SP)
|
100% |
6485
8.66 KIPS |
|
|
Text Classification (HP)
|
99% |
11160
14.9 KIPS |
|
|
Text Classification (Q)
|
92% |
11068
14.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
5065
87.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5075
87.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6491
112.2 IPS |
