iPhone18,2
Geekbench AI Score
9000
Single Precision Score
16660
Half Precision Score
17199
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | CircuitSphere |
| Upload Date | November 06 2025 09:39 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4266
793.3 IPS |
|
|
Image Classification (HP)
|
100% |
8164
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
7413
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5954
96.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9371
151.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10349
167.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20065
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53067
61.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
57734
67.7 IPS |
|
|
Object Detection (SP)
|
100% |
4354
345.4 IPS |
|
|
Object Detection (HP)
|
100% |
8102
642.7 IPS |
|
|
Object Detection (Q)
|
93% |
8035
641.0 IPS |
|
|
Face Detection (SP)
|
100% |
11357
134.9 IPS |
|
|
Face Detection (HP)
|
100% |
22839
271.4 IPS |
|
|
Face Detection (Q)
|
100% |
17479
207.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17763
136.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
34326
264.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
37395
292.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43199
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
93365
120.0 IPS |
|
|
Style Transfer (Q)
|
96% |
119123
153.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10403
384.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18540
684.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22211
820.2 IPS |
|
|
Text Classification (SP)
|
100% |
3476
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
6347
8.47 KIPS |
|
|
Text Classification (Q)
|
93% |
6322
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4988
85.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5816
100.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5822
100.6 IPS |
