iPhone Air
Geekbench AI Score
5076
Single Precision Score
35190
Half Precision Score
49190
Quantized Score
Geekbench AI 1.6.0 Corporate for iOS AArch64
Result Information
| Upload Date | December 02 2025 08:11 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2334
434.1 IPS |
|
|
Image Classification (HP)
|
100% |
14682
2.73 KIPS |
|
|
Image Classification (Q)
|
97% |
21738
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19777
320.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25536
414.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10130
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
156889
183.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
285794
335.0 IPS |
|
|
Object Detection (SP)
|
100% |
2581
204.7 IPS |
|
|
Object Detection (HP)
|
100% |
17274
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24547
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
4352
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
40943
486.5 IPS |
|
|
Face Detection (Q)
|
100% |
58006
689.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8333
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
101107
779.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
161397
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23582
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
258093
331.8 IPS |
|
|
Style Transfer (Q)
|
96% |
349915
451.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5649
208.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55001
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85757
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3585
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6518
8.70 KIPS |
|
|
Text Classification (Q)
|
93% |
6425
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
5126
88.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9663
166.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11800
203.9 IPS |
