iPhone18,2
Geekbench AI Score
8992
Single Precision Score
16460
Half Precision Score
17297
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 07:06 AM |
| Views | 1 |
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% |
4273
794.6 IPS |
|
|
Image Classification (HP)
|
100% |
7956
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7408
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5960
96.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9471
153.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10408
168.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19953
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
53229
62.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
57400
67.3 IPS |
|
|
Object Detection (SP)
|
100% |
4355
345.5 IPS |
|
|
Object Detection (HP)
|
100% |
8096
642.2 IPS |
|
|
Object Detection (Q)
|
93% |
8041
641.5 IPS |
|
|
Face Detection (SP)
|
100% |
11536
137.1 IPS |
|
|
Face Detection (HP)
|
100% |
23030
273.6 IPS |
|
|
Face Detection (Q)
|
100% |
17838
212.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17720
136.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
34766
267.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
37881
295.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42994
55.3 IPS |
|
|
Style Transfer (HP)
|
100% |
94027
120.9 IPS |
|
|
Style Transfer (Q)
|
96% |
119066
153.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10401
384.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18210
672.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22303
823.5 IPS |
|
|
Text Classification (SP)
|
100% |
3482
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6359
8.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6360
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4910
84.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5159
88.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5905
102.0 IPS |
