iPhone18,2
Geekbench AI Score
5074
Single Precision Score
8229
Half Precision Score
6452
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 04:51 PM |
| Views | 1 |
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% |
2298
427.4 IPS |
|
|
Image Classification (HP)
|
100% |
3684
685.1 IPS |
|
|
Image Classification (Q)
|
96% |
2463
460.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3082
50.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3418
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9900
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18209
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15364
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2560
203.1 IPS |
|
|
Object Detection (HP)
|
97% |
4116
327.7 IPS |
|
|
Object Detection (Q)
|
94% |
2740
218.4 IPS |
|
|
Face Detection (SP)
|
100% |
4462
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
8287
98.5 IPS |
|
|
Face Detection (Q)
|
100% |
4251
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8405
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14018
108.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9786
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24102
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38300
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31475
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5512
203.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6955
256.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4998
184.6 IPS |
|
|
Text Classification (SP)
|
100% |
3536
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
5796
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5818
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
5138
88.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9337
161.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9266
160.1 IPS |
