iPhone18,2
Geekbench AI Score
5025
Single Precision Score
8287
Half Precision Score
6484
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 09:42 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2317
430.8 IPS |
|
|
Image Classification (HP)
|
100% |
3715
690.9 IPS |
|
|
Image Classification (Q)
|
96% |
2481
463.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2994
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3426
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9674
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18044
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15328
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2458
195.0 IPS |
|
|
Object Detection (HP)
|
97% |
4089
325.5 IPS |
|
|
Object Detection (Q)
|
94% |
2751
219.2 IPS |
|
|
Face Detection (SP)
|
100% |
4349
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
8263
98.2 IPS |
|
|
Face Detection (Q)
|
100% |
4195
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8347
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13934
107.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9684
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23813
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37942
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30813
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5541
204.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6870
253.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4954
182.9 IPS |
|
|
Text Classification (SP)
|
100% |
3538
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6397
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6345
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5268
90.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9702
167.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9315
161.0 IPS |
