iPhone Air
Geekbench AI Score
4918
Single Precision Score
34947
Half Precision Score
48943
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | victoriggy |
| Upload Date | February 14 2026 11:51 AM |
| Views | 9 |
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% |
2121
394.4 IPS |
|
|
Image Classification (HP)
|
100% |
15455
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
22560
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2070
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18976
307.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23461
380.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9309
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
148658
173.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
282877
331.5 IPS |
|
|
Object Detection (SP)
|
100% |
2454
194.7 IPS |
|
|
Object Detection (HP)
|
100% |
17321
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24549
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
4246
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
41149
488.9 IPS |
|
|
Face Detection (Q)
|
100% |
57235
680.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8319
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
101157
779.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
160914
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24312
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
258330
332.1 IPS |
|
|
Style Transfer (Q)
|
96% |
350945
452.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5285
195.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55207
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86643
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3536
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6509
8.69 KIPS |
|
|
Text Classification (Q)
|
93% |
6465
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5145
88.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9314
160.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11854
204.9 IPS |
