iPhone Air
Geekbench AI Score
8415
Single Precision Score
16503
Half Precision Score
18256
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | nvsnvs32 |
| Upload Date | March 24 2026 09:01 PM |
| Views | 9 |
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% |
3955
735.5 IPS |
|
|
Image Classification (HP)
|
100% |
7975
1.48 KIPS |
|
|
Image Classification (Q)
|
99% |
8164
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5362
86.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8995
145.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9346
151.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17643
20.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
44776
52.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
59354
69.6 IPS |
|
|
Object Detection (SP)
|
100% |
3027
240.1 IPS |
|
|
Object Detection (HP)
|
100% |
8150
646.5 IPS |
|
|
Object Detection (Q)
|
93% |
8749
697.8 IPS |
|
|
Face Detection (SP)
|
100% |
11333
134.7 IPS |
|
|
Face Detection (HP)
|
100% |
24591
292.2 IPS |
|
|
Face Detection (Q)
|
100% |
22664
269.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15094
116.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
32292
248.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
35836
279.8 IPS |
|
|
Style Transfer (SP)
|
100% |
36128
46.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67544
86.8 IPS |
|
|
Style Transfer (Q)
|
96% |
88356
114.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7531
278.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18297
675.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19684
726.8 IPS |
|
|
Text Classification (SP)
|
99% |
6562
8.76 KIPS |
|
|
Text Classification (HP)
|
100% |
11335
15.1 KIPS |
|
|
Text Classification (Q)
|
93% |
11252
15.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
5151
88.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5146
88.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6532
112.9 IPS |
