iPhone18,2
Geekbench AI Score
5189
Single Precision Score
8502
Half Precision Score
6772
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 03 2025 01:13 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2340
435.2 IPS |
|
|
Image Classification (HP)
|
100% |
3820
710.5 IPS |
|
|
Image Classification (Q)
|
96% |
2515
469.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3021
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3442
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10852
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19787
23.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17503
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
2658
210.8 IPS |
|
|
Object Detection (HP)
|
97% |
4252
338.5 IPS |
|
|
Object Detection (Q)
|
94% |
2925
233.1 IPS |
|
|
Face Detection (SP)
|
100% |
4686
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
8569
101.8 IPS |
|
|
Face Detection (Q)
|
100% |
4585
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8614
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14462
111.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10198
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25262
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39506
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32421
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5695
210.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7066
260.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5056
186.7 IPS |
|
|
Text Classification (SP)
|
100% |
3277
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6164
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6238
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
5185
89.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9542
164.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9574
165.4 IPS |
