iPhone18,1
Geekbench AI Score
5099
Single Precision Score
8265
Half Precision Score
6577
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | homee313 |
| Upload Date | December 19 2025 08:58 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2316
430.8 IPS |
|
|
Image Classification (HP)
|
100% |
3715
690.8 IPS |
|
|
Image Classification (Q)
|
96% |
2477
462.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2076
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2847
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3330
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10421
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18800
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16216
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2578
204.5 IPS |
|
|
Object Detection (HP)
|
97% |
4133
329.1 IPS |
|
|
Object Detection (Q)
|
94% |
2828
225.4 IPS |
|
|
Face Detection (SP)
|
100% |
4504
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
8505
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4388
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8439
65.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14183
109.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9986
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24497
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37738
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31100
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5498
203.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6995
258.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4927
181.9 IPS |
|
|
Text Classification (SP)
|
100% |
3384
4.52 KIPS |
|
|
Text Classification (HP)
|
99% |
6132
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6350
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5312
91.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9278
160.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9399
162.4 IPS |
