iPhone Air
Geekbench AI Score
7411
Single Precision Score
15118
Half Precision Score
14039
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Fine_HIMEMIYA |
| Upload Date | December 29 2025 12:51 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
3942
733.1 IPS |
|
|
Image Classification (HP)
|
100% |
7486
1.39 KIPS |
|
|
Image Classification (Q)
|
97% |
6882
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5358
86.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8954
145.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9310
150.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18408
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
49628
57.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
57549
67.5 IPS |
|
|
Object Detection (SP)
|
100% |
3960
314.1 IPS |
|
|
Object Detection (HP)
|
100% |
7749
614.6 IPS |
|
|
Object Detection (Q)
|
93% |
7098
566.3 IPS |
|
|
Face Detection (SP)
|
100% |
10979
130.5 IPS |
|
|
Face Detection (HP)
|
100% |
22141
263.1 IPS |
|
|
Face Detection (Q)
|
100% |
16245
193.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16138
124.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
34081
262.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
35515
277.3 IPS |
|
|
Style Transfer (SP)
|
100% |
36143
46.5 IPS |
|
|
Style Transfer (HP)
|
100% |
67103
86.3 IPS |
|
|
Style Transfer (Q)
|
96% |
82871
106.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7644
282.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17011
628.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20200
745.9 IPS |
|
|
Text Classification (SP)
|
100% |
3552
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6439
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6611
8.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1867
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4363
75.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1780
30.8 IPS |
