iPhone18,1
Geekbench AI Score
5113
Single Precision Score
8318
Half Precision Score
6514
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 01:56 AM |
| Views | 1 |
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% |
2314
430.4 IPS |
|
|
Image Classification (HP)
|
100% |
3724
692.5 IPS |
|
|
Image Classification (Q)
|
96% |
2475
462.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2972
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3084
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9508
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18501
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15785
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2606
206.7 IPS |
|
|
Object Detection (HP)
|
97% |
4156
330.9 IPS |
|
|
Object Detection (Q)
|
94% |
2783
221.8 IPS |
|
|
Face Detection (SP)
|
100% |
4539
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
8310
98.7 IPS |
|
|
Face Detection (Q)
|
100% |
4226
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8280
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14311
110.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10017
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25060
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38956
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31948
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5523
204.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6967
257.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5014
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
3590
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6112
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6409
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5362
92.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9447
163.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9442
163.2 IPS |
