iPhone18,1
Geekbench AI Score
5041
Single Precision Score
8249
Half Precision Score
6446
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | xplo |
| Upload Date | September 20 2025 05:05 PM |
| Views | 2 |
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% |
2343
435.7 IPS |
|
|
Image Classification (HP)
|
100% |
3716
691.0 IPS |
|
|
Image Classification (Q)
|
96% |
2492
465.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2080
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3010
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3438
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9817
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18250
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15208
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2548
202.1 IPS |
|
|
Object Detection (HP)
|
97% |
4066
323.7 IPS |
|
|
Object Detection (Q)
|
94% |
2670
212.8 IPS |
|
|
Face Detection (SP)
|
100% |
4388
52.1 IPS |
|
|
Face Detection (HP)
|
100% |
8150
96.8 IPS |
|
|
Face Detection (Q)
|
100% |
4096
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8300
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13851
107.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9651
75.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24025
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36430
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30345
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5518
203.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7019
259.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4992
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
3497
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6500
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6482
8.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
5156
88.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9376
162.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9185
158.7 IPS |
