iPhone Air
Geekbench AI Score
5262
Single Precision Score
8433
Half Precision Score
6763
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | EASYGEEK-6 |
| Upload Date | March 30 2026 11:24 AM |
| Views | 5 |
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% |
2366
440.0 IPS |
|
|
Image Classification (HP)
|
100% |
2653
493.3 IPS |
|
|
Image Classification (Q)
|
94% |
1961
366.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2206
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2410
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3518
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8496
9.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
16310
19.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
13869
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
2655
210.6 IPS |
|
|
Object Detection (HP)
|
98% |
4239
337.3 IPS |
|
|
Object Detection (Q)
|
88% |
2683
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
4642
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
9755
115.9 IPS |
|
|
Face Detection (Q)
|
100% |
4709
56.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7928
61.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11595
89.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8153
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21707
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39978
51.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33039
42.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5038
186.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9372
346.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6128
226.3 IPS |
|
|
Text Classification (SP)
|
100% |
6584
8.79 KIPS |
|
|
Text Classification (HP)
|
99% |
11251
15.0 KIPS |
|
|
Text Classification (Q)
|
93% |
11549
15.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
5223
90.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8637
148.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8689
150.2 IPS |
