iPhone18,1
Geekbench AI Score
5172
Single Precision Score
8368
Half Precision Score
6639
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Ramonndafonseca |
| Upload Date | October 22 2025 08:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2356
438.1 IPS |
|
|
Image Classification (HP)
|
100% |
3789
704.6 IPS |
|
|
Image Classification (Q)
|
96% |
2436
454.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3022
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3437
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10622
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18647
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16488
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2685
213.0 IPS |
|
|
Object Detection (HP)
|
97% |
4203
334.6 IPS |
|
|
Object Detection (Q)
|
94% |
2894
230.7 IPS |
|
|
Face Detection (SP)
|
100% |
4614
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
8517
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
4490
53.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8525
65.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14346
110.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10230
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25078
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39317
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32311
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5648
208.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6848
252.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4965
183.3 IPS |
|
|
Text Classification (SP)
|
100% |
3279
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6001
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5913
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5227
90.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9504
164.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9571
165.4 IPS |
