iPhone18,1
Geekbench AI Score
9091
Single Precision Score
16373
Half Precision Score
16968
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 04:44 PM |
| Views | 1 |
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% |
4274
794.8 IPS |
|
|
Image Classification (HP)
|
100% |
8066
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7398
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5972
96.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9420
152.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10446
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20057
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53127
62.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
57522
67.4 IPS |
|
|
Object Detection (SP)
|
100% |
4399
348.9 IPS |
|
|
Object Detection (HP)
|
100% |
8075
640.5 IPS |
|
|
Object Detection (Q)
|
93% |
8049
642.2 IPS |
|
|
Face Detection (SP)
|
100% |
11631
138.2 IPS |
|
|
Face Detection (HP)
|
100% |
22933
272.5 IPS |
|
|
Face Detection (Q)
|
100% |
17882
212.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17807
137.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35287
271.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
38080
297.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43290
55.7 IPS |
|
|
Style Transfer (HP)
|
100% |
93246
119.9 IPS |
|
|
Style Transfer (Q)
|
96% |
118792
153.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10385
383.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18026
665.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22318
824.1 IPS |
|
|
Text Classification (SP)
|
100% |
3546
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6396
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6356
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5189
89.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4884
84.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4820
83.3 IPS |
