iPhone18,2
Geekbench AI Score
9033
Single Precision Score
16790
Half Precision Score
17377
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Possum |
| Upload Date | November 08 2025 08:25 PM |
| Views | 3 |
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% |
4252
790.8 IPS |
|
|
Image Classification (HP)
|
100% |
8134
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7502
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6001
97.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9470
153.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10561
171.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20063
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53499
62.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
57643
67.6 IPS |
|
|
Object Detection (SP)
|
100% |
4394
348.5 IPS |
|
|
Object Detection (HP)
|
100% |
8124
644.4 IPS |
|
|
Object Detection (Q)
|
93% |
8054
642.5 IPS |
|
|
Face Detection (SP)
|
100% |
11743
139.5 IPS |
|
|
Face Detection (HP)
|
100% |
23102
274.5 IPS |
|
|
Face Detection (Q)
|
100% |
17958
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17833
137.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35439
273.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
38079
297.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43113
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
93455
120.1 IPS |
|
|
Style Transfer (Q)
|
96% |
118851
153.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10360
382.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18239
673.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22329
824.5 IPS |
|
|
Text Classification (SP)
|
100% |
3513
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6524
8.71 KIPS |
|
|
Text Classification (Q)
|
93% |
6307
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4896
84.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5844
100.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5965
103.1 IPS |
