iPhone Air
Geekbench AI Score
5121
Single Precision Score
37461
Half Precision Score
51671
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ebarrera |
| Upload Date | March 20 2026 08:03 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2368
440.4 IPS |
|
|
Image Classification (HP)
|
100% |
15049
2.80 KIPS |
|
|
Image Classification (Q)
|
97% |
23124
4.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2083
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19561
317.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
25536
414.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8134
9.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
152514
178.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
284698
333.7 IPS |
|
|
Object Detection (SP)
|
100% |
2531
200.7 IPS |
|
|
Object Detection (HP)
|
100% |
17258
1.37 KIPS |
|
|
Object Detection (Q)
|
89% |
24076
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4506
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
42437
504.2 IPS |
|
|
Face Detection (Q)
|
100% |
58338
693.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7666
59.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
101027
778.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
168276
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21819
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
257615
331.2 IPS |
|
|
Style Transfer (Q)
|
96% |
324061
418.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4930
182.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55940
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82555
3.05 KIPS |
|
|
Text Classification (SP)
|
99% |
6752
9.01 KIPS |
|
|
Text Classification (HP)
|
99% |
11305
15.1 KIPS |
|
|
Text Classification (Q)
|
93% |
11279
15.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
4874
84.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10059
173.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11317
195.6 IPS |
