iPhone Air
Geekbench AI Score
5146
Single Precision Score
8444
Half Precision Score
6680
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | VenomF5 |
| Upload Date | February 13 2026 02:33 AM |
| Views | 7 |
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% |
2330
433.4 IPS |
|
|
Image Classification (HP)
|
100% |
3759
699.0 IPS |
|
|
Image Classification (Q)
|
96% |
2475
462.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2102
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3047
49.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3389
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10823
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19407
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16592
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2576
204.3 IPS |
|
|
Object Detection (HP)
|
97% |
4183
333.0 IPS |
|
|
Object Detection (Q)
|
94% |
2881
229.6 IPS |
|
|
Face Detection (SP)
|
100% |
4503
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
8458
100.5 IPS |
|
|
Face Detection (Q)
|
100% |
4511
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8301
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14226
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10178
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25025
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38012
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31737
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5563
205.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7030
259.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4995
184.5 IPS |
|
|
Text Classification (SP)
|
100% |
3474
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
6410
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6392
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5281
91.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9622
166.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9496
164.1 IPS |
