iPhone Air
Geekbench AI Score
8251
Single Precision Score
15974
Half Precision Score
17485
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | arobasefr |
| Upload Date | February 12 2026 09:09 AM |
| Views | 3 |
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% |
4015
746.6 IPS |
|
|
Image Classification (HP)
|
100% |
8223
1.53 KIPS |
|
|
Image Classification (Q)
|
99% |
8200
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5386
87.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9021
146.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9370
151.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18088
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
49310
57.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
63503
74.4 IPS |
|
|
Object Detection (SP)
|
100% |
4099
325.1 IPS |
|
|
Object Detection (HP)
|
100% |
8321
660.0 IPS |
|
|
Object Detection (Q)
|
93% |
8865
707.0 IPS |
|
|
Face Detection (SP)
|
100% |
11579
137.6 IPS |
|
|
Face Detection (HP)
|
100% |
24999
297.0 IPS |
|
|
Face Detection (Q)
|
100% |
23318
277.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16104
124.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
32941
253.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
35366
276.1 IPS |
|
|
Style Transfer (SP)
|
100% |
35839
46.1 IPS |
|
|
Style Transfer (HP)
|
100% |
69362
89.2 IPS |
|
|
Style Transfer (Q)
|
96% |
88612
114.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7651
282.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17638
651.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19345
714.3 IPS |
|
|
Text Classification (SP)
|
100% |
3572
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6466
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6615
8.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4999
86.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5458
94.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6605
114.1 IPS |
