iPhone18,1
Geekbench AI Score
9134
Single Precision Score
16976
Half Precision Score
17471
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | sbeezy99 |
| Upload Date | November 13 2025 07:33 AM |
| Views | 3 |
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% |
4326
804.5 IPS |
|
|
Image Classification (HP)
|
100% |
8215
1.53 KIPS |
|
|
Image Classification (Q)
|
97% |
7509
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6128
99.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9625
156.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10556
171.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20415
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54317
63.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
59587
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
4406
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8074
640.4 IPS |
|
|
Object Detection (Q)
|
93% |
8076
644.3 IPS |
|
|
Face Detection (SP)
|
100% |
11584
137.6 IPS |
|
|
Face Detection (HP)
|
100% |
23228
276.0 IPS |
|
|
Face Detection (Q)
|
100% |
17948
213.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18052
139.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
35669
274.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
38657
301.8 IPS |
|
|
Style Transfer (SP)
|
100% |
43882
56.4 IPS |
|
|
Style Transfer (HP)
|
100% |
96547
124.1 IPS |
|
|
Style Transfer (Q)
|
96% |
121111
156.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10462
386.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19232
710.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22185
819.2 IPS |
|
|
Text Classification (SP)
|
100% |
3509
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6408
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6332
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5036
86.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5818
100.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5887
101.7 IPS |
