iPhone18,2
Geekbench AI Score
8113
Single Precision Score
14510
Half Precision Score
14513
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | uch |
| Upload Date | October 09 2025 01:28 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4130
768.1 IPS |
|
|
Image Classification (HP)
|
100% |
7399
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
6875
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6022
97.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9032
146.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10228
165.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20102
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53331
62.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
57854
67.8 IPS |
|
|
Object Detection (SP)
|
100% |
4305
341.4 IPS |
|
|
Object Detection (HP)
|
100% |
7833
621.3 IPS |
|
|
Object Detection (Q)
|
93% |
7899
630.1 IPS |
|
|
Face Detection (SP)
|
100% |
11488
136.5 IPS |
|
|
Face Detection (HP)
|
100% |
22531
267.7 IPS |
|
|
Face Detection (Q)
|
100% |
17589
209.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17783
137.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
34348
264.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
37316
291.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43102
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
94383
121.3 IPS |
|
|
Style Transfer (Q)
|
96% |
119067
153.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10347
382.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17694
653.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21631
798.7 IPS |
|
|
Text Classification (SP)
|
100% |
3460
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
6173
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5831
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1823
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1858
32.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1309
22.6 IPS |
