iPhone18,2
Geekbench AI Score
5118
Single Precision Score
8286
Half Precision Score
6520
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 29 2025 05:17 AM |
| Views | 1 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2343
435.7 IPS |
|
|
Image Classification (HP)
|
100% |
3724
692.6 IPS |
|
|
Image Classification (Q)
|
96% |
2417
451.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2081
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3002
48.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3432
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10374
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18388
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15930
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2566
203.6 IPS |
|
|
Object Detection (HP)
|
97% |
4064
323.5 IPS |
|
|
Object Detection (Q)
|
94% |
2760
220.0 IPS |
|
|
Face Detection (SP)
|
100% |
4476
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
8263
98.2 IPS |
|
|
Face Detection (Q)
|
100% |
4224
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8442
65.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13903
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9770
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24308
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37539
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30979
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5496
203.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6946
256.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4989
184.2 IPS |
|
|
Text Classification (SP)
|
100% |
3536
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6415
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6368
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5327
91.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9508
164.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9378
162.1 IPS |
