iPhone18,1
Geekbench AI Score
5150
Single Precision Score
8357
Half Precision Score
6644
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 05:05 PM |
| 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% |
2367
440.2 IPS |
|
|
Image Classification (HP)
|
100% |
3687
685.7 IPS |
|
|
Image Classification (Q)
|
96% |
2469
461.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2160
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3062
49.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3430
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10957
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18886
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16450
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2578
204.5 IPS |
|
|
Object Detection (HP)
|
97% |
4149
330.3 IPS |
|
|
Object Detection (Q)
|
94% |
2875
229.2 IPS |
|
|
Face Detection (SP)
|
100% |
4604
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
8490
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
4483
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8406
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14296
110.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10113
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24727
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38025
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31422
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5558
205.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7078
261.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5046
186.3 IPS |
|
|
Text Classification (SP)
|
100% |
3235
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
6046
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
6139
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
5285
91.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9512
164.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9488
164.0 IPS |
