iPhone Air
Geekbench AI Score
5314
Single Precision Score
8630
Half Precision Score
6760
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | VenomF5 |
| Upload Date | March 07 2026 01:52 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2387
443.9 IPS |
|
|
Image Classification (HP)
|
100% |
2933
545.4 IPS |
|
|
Image Classification (Q)
|
94% |
1904
355.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2352
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3504
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8923
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17117
20.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14632
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2726
216.2 IPS |
|
|
Object Detection (HP)
|
98% |
4358
346.7 IPS |
|
|
Object Detection (Q)
|
88% |
2675
214.4 IPS |
|
|
Face Detection (SP)
|
100% |
4766
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
9830
116.8 IPS |
|
|
Face Detection (Q)
|
100% |
4887
58.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7681
59.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11385
88.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8037
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22302
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
41674
53.6 IPS |
|
|
Style Transfer (Q)
|
96% |
33581
43.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5197
191.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9658
356.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6134
226.5 IPS |
|
|
Text Classification (SP)
|
99% |
6625
8.84 KIPS |
|
|
Text Classification (HP)
|
99% |
11103
14.8 KIPS |
|
|
Text Classification (Q)
|
93% |
10981
14.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
5192
89.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8910
153.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8600
148.6 IPS |
