iPhone18,2
Geekbench AI Score
5186
Single Precision Score
8426
Half Precision Score
6683
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 05 2025 02:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| 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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2349
436.8 IPS |
|
|
Image Classification (HP)
|
100% |
3767
700.6 IPS |
|
|
Image Classification (Q)
|
96% |
2505
467.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3072
49.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3478
56.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10638
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19329
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16061
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2665
211.4 IPS |
|
|
Object Detection (HP)
|
97% |
4225
336.3 IPS |
|
|
Object Detection (Q)
|
94% |
2901
231.2 IPS |
|
|
Face Detection (SP)
|
100% |
4673
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
8497
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
4466
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8586
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14413
111.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10277
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24861
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39259
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32225
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5721
211.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6977
257.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5039
186.1 IPS |
|
|
Text Classification (SP)
|
100% |
3316
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5918
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
6066
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
5230
90.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9617
166.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9689
167.4 IPS |
