iPhone18,2
Geekbench AI Score
5018
Single Precision Score
8257
Half Precision Score
6480
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Hillepille |
| Upload Date | September 24 2025 04:48 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2345
436.0 IPS |
|
|
Image Classification (HP)
|
100% |
3730
693.6 IPS |
|
|
Image Classification (Q)
|
96% |
2478
462.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3067
49.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3422
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10121
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18665
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15748
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2261
179.4 IPS |
|
|
Object Detection (HP)
|
97% |
3983
317.1 IPS |
|
|
Object Detection (Q)
|
94% |
2603
207.5 IPS |
|
|
Face Detection (SP)
|
100% |
4290
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
8164
97.0 IPS |
|
|
Face Detection (Q)
|
100% |
4141
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8277
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13748
106.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9779
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24111
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37910
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31001
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5567
205.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6774
250.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4974
183.7 IPS |
|
|
Text Classification (SP)
|
100% |
3539
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6401
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6400
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5263
90.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9396
162.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9398
162.4 IPS |
