iPhone18,2
Geekbench AI Score
8979
Single Precision Score
16650
Half Precision Score
17320
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 01:07 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
4200
781.1 IPS |
|
|
Image Classification (HP)
|
100% |
8024
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7591
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5945
96.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9347
151.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10433
169.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19995
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
53043
61.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
57325
67.2 IPS |
|
|
Object Detection (SP)
|
100% |
4365
346.2 IPS |
|
|
Object Detection (HP)
|
100% |
8085
641.3 IPS |
|
|
Object Detection (Q)
|
93% |
8032
640.8 IPS |
|
|
Face Detection (SP)
|
100% |
11549
137.2 IPS |
|
|
Face Detection (HP)
|
100% |
23041
273.8 IPS |
|
|
Face Detection (Q)
|
100% |
17795
211.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17772
136.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35232
271.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
37852
295.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43076
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
93362
120.0 IPS |
|
|
Style Transfer (Q)
|
96% |
118533
153.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10410
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18058
666.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22257
821.8 IPS |
|
|
Text Classification (SP)
|
100% |
3529
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6425
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6393
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4817
83.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5790
99.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5866
101.4 IPS |
