iPhone Air
Geekbench AI Score
5220
Single Precision Score
37069
Half Precision Score
51710
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | EASYGEEK-6 |
| Upload Date | March 30 2026 11:40 AM |
| Views | 5 |
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% |
2396
445.6 IPS |
|
|
Image Classification (HP)
|
100% |
14846
2.76 KIPS |
|
|
Image Classification (Q)
|
97% |
22383
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19921
322.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25489
413.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8322
9.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
152446
177.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
284750
333.7 IPS |
|
|
Object Detection (SP)
|
100% |
2636
209.1 IPS |
|
|
Object Detection (HP)
|
100% |
17135
1.36 KIPS |
|
|
Object Detection (Q)
|
89% |
24530
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
4691
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
42613
506.3 IPS |
|
|
Face Detection (Q)
|
100% |
61120
726.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7792
60.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
101151
779.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
165415
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
21927
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
257133
330.5 IPS |
|
|
Style Transfer (Q)
|
96% |
324269
418.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4985
184.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54480
2.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82089
3.03 KIPS |
|
|
Text Classification (SP)
|
99% |
6631
8.85 KIPS |
|
|
Text Classification (HP)
|
99% |
11232
15.0 KIPS |
|
|
Text Classification (Q)
|
93% |
11191
15.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
5080
87.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9352
161.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11390
196.8 IPS |
