iPhone18,1
Geekbench AI Score
5165
Single Precision Score
8376
Half Precision Score
6611
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 02:53 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2323
432.0 IPS |
|
|
Image Classification (HP)
|
100% |
3709
689.8 IPS |
|
|
Image Classification (Q)
|
96% |
2479
462.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2162
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3024
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3446
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10890
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19456
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16704
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2681
212.6 IPS |
|
|
Object Detection (HP)
|
97% |
4186
333.2 IPS |
|
|
Object Detection (Q)
|
94% |
2869
228.7 IPS |
|
|
Face Detection (SP)
|
100% |
4659
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
8460
100.5 IPS |
|
|
Face Detection (Q)
|
100% |
4429
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8473
65.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14176
109.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10079
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24707
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38313
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31452
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5610
207.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6901
254.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4959
183.1 IPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
6121
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5867
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5265
90.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9593
165.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9548
165.0 IPS |
