iPhone18,1
Geekbench AI Score
9111
Single Precision Score
16564
Half Precision Score
17169
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | mbuurman |
| Upload Date | September 20 2025 03:16 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| 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 | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4223
785.3 IPS |
|
|
Image Classification (HP)
|
100% |
8040
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7494
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6085
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9608
155.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10582
171.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20320
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53986
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59277
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
4406
349.5 IPS |
|
|
Object Detection (HP)
|
100% |
8099
642.4 IPS |
|
|
Object Detection (Q)
|
93% |
8048
642.1 IPS |
|
|
Face Detection (SP)
|
100% |
11772
139.9 IPS |
|
|
Face Detection (HP)
|
100% |
23154
275.1 IPS |
|
|
Face Detection (Q)
|
100% |
17966
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18021
138.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35484
273.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
38936
304.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43664
56.1 IPS |
|
|
Style Transfer (HP)
|
100% |
96425
124.0 IPS |
|
|
Style Transfer (Q)
|
96% |
119962
154.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10406
384.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19136
706.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22422
827.9 IPS |
|
|
Text Classification (SP)
|
100% |
3520
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6393
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6447
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5051
87.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4752
81.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4851
83.8 IPS |
