iPhone Air
Geekbench AI Score
4780
Single Precision Score
34647
Half Precision Score
48051
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | January 06 2026 09:07 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2341
435.4 IPS |
|
|
Image Classification (HP)
|
100% |
15311
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
22743
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2069
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19288
312.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23231
376.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9031
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
143064
166.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
271337
318.0 IPS |
|
|
Object Detection (SP)
|
100% |
2350
186.4 IPS |
|
|
Object Detection (HP)
|
100% |
17407
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24192
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4127
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
41132
488.7 IPS |
|
|
Face Detection (Q)
|
100% |
52751
626.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7891
60.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
97592
751.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
162022
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
22458
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
254425
327.1 IPS |
|
|
Style Transfer (Q)
|
96% |
350571
452.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5157
190.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55238
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83286
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3495
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6452
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6412
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4605
79.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9313
160.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11826
204.4 IPS |
