iPhone Air
Geekbench AI Score
5121
Single Precision Score
35419
Half Precision Score
48365
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | January 30 2026 12:02 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2319
431.3 IPS |
|
|
Image Classification (HP)
|
100% |
15534
2.89 KIPS |
|
|
Image Classification (Q)
|
97% |
22343
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19243
311.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24093
390.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10342
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
157860
184.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
292907
343.3 IPS |
|
|
Object Detection (SP)
|
100% |
2537
201.2 IPS |
|
|
Object Detection (HP)
|
100% |
17266
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24968
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4426
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
41119
488.6 IPS |
|
|
Face Detection (Q)
|
100% |
49976
593.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8416
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
100796
776.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
162745
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24752
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
258314
332.1 IPS |
|
|
Style Transfer (Q)
|
96% |
350945
452.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5612
207.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55731
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82316
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3533
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6539
8.73 KIPS |
|
|
Text Classification (Q)
|
93% |
6456
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
5283
91.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9776
168.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11730
202.7 IPS |
