iPhone18,1
Geekbench AI Score
5185
Single Precision Score
8403
Half Precision Score
6654
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 02:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2335
434.3 IPS |
|
|
Image Classification (HP)
|
100% |
3799
706.6 IPS |
|
|
Image Classification (Q)
|
96% |
2513
469.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3023
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3438
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11058
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19750
23.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16786
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2668
211.6 IPS |
|
|
Object Detection (HP)
|
97% |
4210
335.2 IPS |
|
|
Object Detection (Q)
|
94% |
2919
232.7 IPS |
|
|
Face Detection (SP)
|
100% |
4673
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
8571
101.8 IPS |
|
|
Face Detection (Q)
|
100% |
4548
54.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8541
65.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14428
111.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10239
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25133
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38910
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31936
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5613
207.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6982
257.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5024
185.5 IPS |
|
|
Text Classification (SP)
|
100% |
3170
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5888
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5768
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
5376
92.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9293
160.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9337
161.4 IPS |
