iPhone Air iPhone18,4
Geekbench AI Score
6409
Single Precision Score
12022
Half Precision Score
13394
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | September 21 2025 07:36 AM |
| Views | 8 |
| Notes | iPhone Air/12GB/256GB |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,4 |
| Model ID | iPhone18,4 |
| Motherboard | D23AP |
| CPU Information | |
|---|---|
| Name | ARM |
| 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% |
3929
730.6 IPS |
|
|
Image Classification (HP)
|
100% |
7405
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
6860
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5343
86.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8784
142.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9260
150.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13930
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
39310
45.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
50812
59.6 IPS |
|
|
Object Detection (SP)
|
100% |
2782
220.7 IPS |
|
|
Object Detection (HP)
|
100% |
5777
458.3 IPS |
|
|
Object Detection (Q)
|
93% |
6804
542.8 IPS |
|
|
Face Detection (SP)
|
100% |
9871
117.3 IPS |
|
|
Face Detection (HP)
|
100% |
16450
195.5 IPS |
|
|
Face Detection (Q)
|
100% |
15137
179.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11680
90.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
27042
208.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
35292
275.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30693
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
56639
72.8 IPS |
|
|
Style Transfer (Q)
|
96% |
75001
96.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6917
255.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14977
553.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16999
627.7 IPS |
|
|
Text Classification (SP)
|
100% |
3479
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
6224
8.31 KIPS |
|
|
Text Classification (Q)
|
93% |
6296
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1690
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1818
31.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1974
34.1 IPS |
