iPhone18,2
Geekbench AI Score
5062
Single Precision Score
8225
Half Precision Score
6475
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 06:17 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2321
431.7 IPS |
|
|
Image Classification (HP)
|
100% |
3673
683.0 IPS |
|
|
Image Classification (Q)
|
96% |
2454
458.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3004
48.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3425
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10016
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18418
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15483
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2530
200.7 IPS |
|
|
Object Detection (HP)
|
97% |
4054
322.7 IPS |
|
|
Object Detection (Q)
|
94% |
2736
218.1 IPS |
|
|
Face Detection (SP)
|
100% |
4327
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
8170
97.1 IPS |
|
|
Face Detection (Q)
|
100% |
4201
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8352
64.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13930
107.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9577
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23749
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37159
47.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30594
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5455
201.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6745
249.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4935
182.2 IPS |
|
|
Text Classification (SP)
|
100% |
3563
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6461
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6342
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5282
91.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9339
161.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9445
163.2 IPS |
