iPhone18,1
Geekbench AI Score
8245
Single Precision Score
16485
Half Precision Score
15512
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 08:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
4234
787.4 IPS |
|
|
Image Classification (HP)
|
100% |
8000
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7505
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5997
97.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9456
153.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10517
170.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20027
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53083
61.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
57556
67.5 IPS |
|
|
Object Detection (SP)
|
100% |
4366
346.3 IPS |
|
|
Object Detection (HP)
|
100% |
8133
645.1 IPS |
|
|
Object Detection (Q)
|
93% |
8080
644.6 IPS |
|
|
Face Detection (SP)
|
100% |
11649
138.4 IPS |
|
|
Face Detection (HP)
|
100% |
23026
273.6 IPS |
|
|
Face Detection (Q)
|
100% |
17776
211.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17765
136.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35567
274.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
37955
296.3 IPS |
|
|
Style Transfer (SP)
|
100% |
41942
53.9 IPS |
|
|
Style Transfer (HP)
|
100% |
94859
121.9 IPS |
|
|
Style Transfer (Q)
|
96% |
118428
152.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10406
384.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19394
716.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21826
805.9 IPS |
|
|
Text Classification (SP)
|
100% |
3574
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6570
8.77 KIPS |
|
|
Text Classification (Q)
|
93% |
6544
8.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2026
34.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4585
79.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1926
33.3 IPS |
