iPhone18,1
Geekbench AI Score
8929
Single Precision Score
16334
Half Precision Score
16815
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 02:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
4129
767.8 IPS |
|
|
Image Classification (HP)
|
100% |
7434
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
6900
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6063
98.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9500
154.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10451
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20267
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53446
62.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
58022
68.0 IPS |
|
|
Object Detection (SP)
|
100% |
4370
346.6 IPS |
|
|
Object Detection (HP)
|
100% |
7885
625.5 IPS |
|
|
Object Detection (Q)
|
93% |
7880
628.7 IPS |
|
|
Face Detection (SP)
|
100% |
11728
139.4 IPS |
|
|
Face Detection (HP)
|
100% |
23086
274.3 IPS |
|
|
Face Detection (Q)
|
100% |
17937
213.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17819
137.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
34777
267.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
38007
296.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43103
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
94475
121.4 IPS |
|
|
Style Transfer (Q)
|
96% |
119126
153.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10331
381.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18204
672.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21501
793.9 IPS |
|
|
Text Classification (SP)
|
100% |
3452
4.61 KIPS |
|
|
Text Classification (HP)
|
99% |
6138
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5844
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4524
77.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5361
92.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5372
92.8 IPS |
