iPhone Air
Geekbench AI Score
7386
Single Precision Score
15316
Half Precision Score
13953
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | arobasefr |
| Upload Date | December 29 2025 06:07 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
3963
736.9 IPS |
|
|
Image Classification (HP)
|
100% |
7455
1.39 KIPS |
|
|
Image Classification (Q)
|
97% |
6860
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5371
87.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8951
145.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9275
150.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18316
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
49401
57.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
57114
66.9 IPS |
|
|
Object Detection (SP)
|
100% |
3961
314.2 IPS |
|
|
Object Detection (HP)
|
100% |
7692
610.1 IPS |
|
|
Object Detection (Q)
|
93% |
7204
574.7 IPS |
|
|
Face Detection (SP)
|
100% |
11061
131.4 IPS |
|
|
Face Detection (HP)
|
100% |
22174
263.5 IPS |
|
|
Face Detection (Q)
|
100% |
16319
193.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16053
123.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
33825
260.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
35535
277.4 IPS |
|
|
Style Transfer (SP)
|
100% |
34009
43.7 IPS |
|
|
Style Transfer (HP)
|
100% |
71497
91.9 IPS |
|
|
Style Transfer (Q)
|
96% |
81460
105.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7651
282.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17893
660.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19790
730.7 IPS |
|
|
Text Classification (SP)
|
100% |
3518
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6633
8.85 KIPS |
|
|
Text Classification (Q)
|
93% |
6421
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1927
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4403
75.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1780
30.8 IPS |
