iPhone18,1
Geekbench AI Score
9021
Single Precision Score
16702
Half Precision Score
17376
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | DDriver |
| Upload Date | November 14 2025 06:31 PM |
| Views | 4 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4228
786.3 IPS |
|
|
Image Classification (HP)
|
100% |
7990
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7515
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5985
97.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9477
153.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10512
170.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20044
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53169
62.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
57269
67.1 IPS |
|
|
Object Detection (SP)
|
100% |
4391
348.3 IPS |
|
|
Object Detection (HP)
|
100% |
8175
648.5 IPS |
|
|
Object Detection (Q)
|
93% |
8062
643.1 IPS |
|
|
Face Detection (SP)
|
100% |
11693
138.9 IPS |
|
|
Face Detection (HP)
|
100% |
23124
274.8 IPS |
|
|
Face Detection (Q)
|
100% |
17960
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17799
137.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
35199
271.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
38088
297.4 IPS |
|
|
Style Transfer (SP)
|
100% |
42941
55.2 IPS |
|
|
Style Transfer (HP)
|
100% |
93493
120.2 IPS |
|
|
Style Transfer (Q)
|
96% |
118220
152.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10400
384.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18166
670.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22149
817.9 IPS |
|
|
Text Classification (SP)
|
100% |
3537
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6459
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6445
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4876
84.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5749
99.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5960
103.0 IPS |
