iPhone18,1
Geekbench AI Score
8995
Single Precision Score
16786
Half Precision Score
17368
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 09:39 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| 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 | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4239
788.4 IPS |
|
|
Image Classification (HP)
|
100% |
8075
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7562
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5976
96.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9494
153.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10451
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20064
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
52974
61.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
57725
67.7 IPS |
|
|
Object Detection (SP)
|
100% |
4368
346.5 IPS |
|
|
Object Detection (HP)
|
100% |
8107
643.1 IPS |
|
|
Object Detection (Q)
|
93% |
8049
642.1 IPS |
|
|
Face Detection (SP)
|
100% |
11579
137.6 IPS |
|
|
Face Detection (HP)
|
100% |
22990
273.2 IPS |
|
|
Face Detection (Q)
|
100% |
17959
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17792
137.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
35210
271.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
37948
296.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43206
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
93548
120.3 IPS |
|
|
Style Transfer (Q)
|
96% |
118729
153.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10405
384.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19115
705.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22394
826.9 IPS |
|
|
Text Classification (SP)
|
100% |
3506
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6262
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
6285
8.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4813
82.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5955
102.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5974
103.2 IPS |
