iPhone18,2
Geekbench AI Score
5166
Single Precision Score
8452
Half Precision Score
6619
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 01:04 PM |
| Views | 1 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2339
435.0 IPS |
|
|
Image Classification (HP)
|
100% |
3792
705.1 IPS |
|
|
Image Classification (Q)
|
96% |
2516
469.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3057
49.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3426
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10615
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19563
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16389
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2608
206.9 IPS |
|
|
Object Detection (HP)
|
97% |
4206
334.8 IPS |
|
|
Object Detection (Q)
|
94% |
2894
230.7 IPS |
|
|
Face Detection (SP)
|
100% |
4608
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
8526
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
4465
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8579
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14367
111.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10039
78.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24981
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38673
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31742
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5662
209.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6995
258.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5001
184.6 IPS |
|
|
Text Classification (SP)
|
100% |
3279
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6025
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5848
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
5305
91.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9772
168.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9500
164.2 IPS |
