iPhone18,2
Geekbench AI Score
3881
Single Precision Score
7108
Half Precision Score
7315
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | tyoung89 |
| Upload Date | October 14 2025 08:33 AM |
| Views | 13 |
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% |
4253
790.9 IPS |
|
|
Image Classification (HP)
|
100% |
8023
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7495
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6068
98.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9558
154.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10579
171.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20391
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
53969
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59223
69.4 IPS |
|
|
Object Detection (SP)
|
100% |
4405
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8072
640.3 IPS |
|
|
Object Detection (Q)
|
93% |
8088
645.2 IPS |
|
|
Face Detection (SP)
|
100% |
11660
138.5 IPS |
|
|
Face Detection (HP)
|
100% |
23114
274.6 IPS |
|
|
Face Detection (Q)
|
100% |
17955
213.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17936
138.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35611
274.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
37893
295.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43693
56.2 IPS |
|
|
Style Transfer (HP)
|
100% |
96385
123.9 IPS |
|
|
Style Transfer (Q)
|
96% |
119544
154.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10440
385.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19377
715.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22377
826.3 IPS |
|
|
Text Classification (SP)
|
100% |
3510
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6419
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6350
8.52 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
46.6 IPS |
|
|
Machine Translation (HP)
|
0% |
0
62.6 IPS |
|
|
Machine Translation (Q)
|
0% |
0
54.7 IPS |
