iPhone Air
Geekbench AI Score
8017
Single Precision Score
15759
Half Precision Score
17182
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | victoriggy |
| Upload Date | February 14 2026 11:54 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3931
731.0 IPS |
|
|
Image Classification (HP)
|
100% |
7989
1.49 KIPS |
|
|
Image Classification (Q)
|
99% |
8012
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5369
87.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8948
145.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9287
150.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18056
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
48840
57.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
63036
73.9 IPS |
|
|
Object Detection (SP)
|
100% |
4082
323.8 IPS |
|
|
Object Detection (HP)
|
100% |
8093
642.0 IPS |
|
|
Object Detection (Q)
|
93% |
8593
685.4 IPS |
|
|
Face Detection (SP)
|
100% |
11348
134.8 IPS |
|
|
Face Detection (HP)
|
100% |
21803
259.1 IPS |
|
|
Face Detection (Q)
|
100% |
22377
265.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13915
107.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
31704
244.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
35258
275.3 IPS |
|
|
Style Transfer (SP)
|
100% |
34013
43.7 IPS |
|
|
Style Transfer (HP)
|
100% |
66147
85.0 IPS |
|
|
Style Transfer (Q)
|
96% |
88183
113.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7273
268.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17584
649.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19098
705.2 IPS |
|
|
Text Classification (SP)
|
100% |
3524
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6458
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6360
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5124
88.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6440
110.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6585
113.8 IPS |
