iPhone18,2
Geekbench AI Score
9049
Single Precision Score
16854
Half Precision Score
17423
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 02:18 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
4255
791.2 IPS |
|
|
Image Classification (HP)
|
100% |
8075
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7608
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5980
96.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9521
154.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10408
168.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20113
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53184
62.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
57536
67.4 IPS |
|
|
Object Detection (SP)
|
100% |
4401
349.1 IPS |
|
|
Object Detection (HP)
|
100% |
8082
641.0 IPS |
|
|
Object Detection (Q)
|
93% |
8055
642.6 IPS |
|
|
Face Detection (SP)
|
100% |
11729
139.4 IPS |
|
|
Face Detection (HP)
|
100% |
23111
274.6 IPS |
|
|
Face Detection (Q)
|
100% |
17950
213.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17897
137.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35244
271.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
38318
299.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43052
55.3 IPS |
|
|
Style Transfer (HP)
|
100% |
94091
121.0 IPS |
|
|
Style Transfer (Q)
|
96% |
118956
153.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10390
383.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18941
699.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22454
829.1 IPS |
|
|
Text Classification (SP)
|
100% |
3548
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6506
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6442
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4910
84.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5928
102.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5935
102.6 IPS |
