iPhone18,1
Geekbench AI Score
5130
Single Precision Score
8339
Half Precision Score
6601
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | owine |
| Upload Date | September 20 2025 02:14 AM |
| Views | 4 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2334
434.1 IPS |
|
|
Image Classification (HP)
|
100% |
3757
698.7 IPS |
|
|
Image Classification (Q)
|
96% |
2491
465.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3016
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3430
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10375
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18543
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16173
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2643
209.7 IPS |
|
|
Object Detection (HP)
|
97% |
4155
330.8 IPS |
|
|
Object Detection (Q)
|
94% |
2853
227.4 IPS |
|
|
Face Detection (SP)
|
100% |
4558
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
8300
98.6 IPS |
|
|
Face Detection (Q)
|
100% |
4341
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8415
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14247
110.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10021
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23263
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38021
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31602
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5631
207.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6906
255.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5003
184.7 IPS |
|
|
Text Classification (SP)
|
100% |
3582
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6143
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6089
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
5184
89.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9767
168.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9516
164.5 IPS |
