iPhone18,2
Geekbench AI Score
5164
Single Precision Score
8435
Half Precision Score
6670
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 26 2025 08:04 PM |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2334
434.1 IPS |
|
|
Image Classification (HP)
|
100% |
3736
694.9 IPS |
|
|
Image Classification (Q)
|
96% |
2492
465.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3105
50.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3470
56.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10815
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19441
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16528
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2699
214.1 IPS |
|
|
Object Detection (HP)
|
97% |
4176
332.4 IPS |
|
|
Object Detection (Q)
|
94% |
2887
230.1 IPS |
|
|
Face Detection (SP)
|
100% |
4605
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
8506
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4472
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8465
65.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14428
111.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10192
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24815
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39017
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32004
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5568
205.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6977
257.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4945
182.6 IPS |
|
|
Text Classification (SP)
|
100% |
3262
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
6091
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6219
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5283
91.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9517
164.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9422
162.8 IPS |
