iPhone18,2
Geekbench AI Score
5127
Single Precision Score
8306
Half Precision Score
6541
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 14 2025 06:17 AM |
| Views | 8 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2336
434.3 IPS |
|
|
Image Classification (HP)
|
100% |
3760
699.2 IPS |
|
|
Image Classification (Q)
|
96% |
2508
468.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2982
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3433
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10444
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18698
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16037
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2605
206.6 IPS |
|
|
Object Detection (HP)
|
97% |
4207
334.9 IPS |
|
|
Object Detection (Q)
|
94% |
2826
225.3 IPS |
|
|
Face Detection (SP)
|
100% |
4454
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
8518
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
4307
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8343
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13891
107.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9849
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24631
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38253
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30954
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5625
207.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6967
257.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5028
185.6 IPS |
|
|
Text Classification (SP)
|
100% |
3476
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
5910
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5843
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
5244
90.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9515
164.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9527
164.6 IPS |
