iPhone18,2
Geekbench AI Score
5026
Single Precision Score
8227
Half Precision Score
6418
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 07:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.16 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2306
428.8 IPS |
|
|
Image Classification (HP)
|
100% |
3654
679.5 IPS |
|
|
Image Classification (Q)
|
96% |
2461
459.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2049
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2972
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3363
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10130
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18392
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15461
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2575
204.3 IPS |
|
|
Object Detection (HP)
|
97% |
4078
324.6 IPS |
|
|
Object Detection (Q)
|
94% |
2739
218.3 IPS |
|
|
Face Detection (SP)
|
100% |
4416
52.5 IPS |
|
|
Face Detection (HP)
|
100% |
8124
96.5 IPS |
|
|
Face Detection (Q)
|
100% |
4156
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8087
62.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13823
106.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9725
75.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23772
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36787
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30167
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5367
198.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6876
253.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4844
178.9 IPS |
|
|
Text Classification (SP)
|
100% |
3492
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6458
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6389
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5252
90.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9513
164.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8969
155.0 IPS |
