iPhone Air
Geekbench AI Score
4734
Single Precision Score
7912
Half Precision Score
6153
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | January 06 2026 09:00 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2227
414.2 IPS |
|
|
Image Classification (HP)
|
100% |
3143
584.5 IPS |
|
|
Image Classification (Q)
|
96% |
1967
367.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1702
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3013
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3192
51.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9938
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17396
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14482
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2379
188.7 IPS |
|
|
Object Detection (HP)
|
97% |
3865
307.7 IPS |
|
|
Object Detection (Q)
|
94% |
2636
210.1 IPS |
|
|
Face Detection (SP)
|
100% |
4114
48.9 IPS |
|
|
Face Detection (HP)
|
100% |
7735
91.9 IPS |
|
|
Face Detection (Q)
|
100% |
4050
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8002
61.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13474
104.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9331
72.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23525
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36606
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30016
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4825
178.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6828
252.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4865
179.6 IPS |
|
|
Text Classification (SP)
|
100% |
3546
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6559
8.75 KIPS |
|
|
Text Classification (Q)
|
93% |
6570
8.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4766
82.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8839
152.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8955
154.8 IPS |
