iPhone18,2
Geekbench AI Score
9066
Single Precision Score
16398
Half Precision Score
16934
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 12 2025 07:33 PM |
| Views | 70 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4266
793.3 IPS |
|
|
Image Classification (HP)
|
100% |
8015
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7363
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6054
98.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9534
154.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10557
171.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20210
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53974
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
58354
68.4 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8080
640.9 IPS |
|
|
Object Detection (Q)
|
93% |
8053
642.4 IPS |
|
|
Face Detection (SP)
|
100% |
11662
138.6 IPS |
|
|
Face Detection (HP)
|
100% |
23102
274.5 IPS |
|
|
Face Detection (Q)
|
100% |
17793
211.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17970
138.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35301
272.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
38363
299.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43160
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
95933
123.3 IPS |
|
|
Style Transfer (Q)
|
96% |
119510
154.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10411
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18313
676.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22382
826.5 IPS |
|
|
Text Classification (SP)
|
100% |
3454
4.61 KIPS |
|
|
Text Classification (HP)
|
99% |
6322
8.44 KIPS |
|
|
Text Classification (Q)
|
93% |
6302
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
5018
86.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4659
80.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4615
79.8 IPS |
