iPhone18,2
Geekbench AI Score
5156
Single Precision Score
8437
Half Precision Score
6610
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | MrSunamix |
| Upload Date | November 17 2025 08:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2327
432.7 IPS |
|
|
Image Classification (HP)
|
100% |
3812
709.0 IPS |
|
|
Image Classification (Q)
|
96% |
2501
467.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3012
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3427
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10631
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19347
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16194
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2649
210.1 IPS |
|
|
Object Detection (HP)
|
97% |
4199
334.3 IPS |
|
|
Object Detection (Q)
|
94% |
2878
229.4 IPS |
|
|
Face Detection (SP)
|
100% |
4606
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
8482
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
4419
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8495
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14407
111.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10123
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25089
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39309
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31897
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5666
209.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7101
262.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5047
186.4 IPS |
|
|
Text Classification (SP)
|
100% |
3283
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6087
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5874
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5179
89.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9437
163.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9434
163.0 IPS |
