iPhone18,1
Geekbench AI Score
5181
Single Precision Score
8305
Half Precision Score
6682
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Raymond110168 |
| Upload Date | September 27 2025 05:24 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2352
437.3 IPS |
|
|
Image Classification (HP)
|
100% |
3727
693.2 IPS |
|
|
Image Classification (Q)
|
96% |
2490
465.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3015
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3430
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10592
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19330
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16485
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2684
212.9 IPS |
|
|
Object Detection (HP)
|
97% |
4189
333.5 IPS |
|
|
Object Detection (Q)
|
94% |
2863
228.2 IPS |
|
|
Face Detection (SP)
|
100% |
4657
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
8479
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
4454
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8579
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14332
110.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10196
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25033
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39046
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31857
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5652
208.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6848
252.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5019
185.3 IPS |
|
|
Text Classification (SP)
|
100% |
3275
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5946
7.94 KIPS |
|
|
Text Classification (Q)
|
93% |
6437
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
5328
91.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8889
153.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9426
162.9 IPS |
