iPhone18,1
Geekbench AI Score
9011
Single Precision Score
16478
Half Precision Score
17029
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Moklonus |
| Upload Date | September 21 2025 06:38 PM |
| Views | 11 |
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% |
4235
787.5 IPS |
|
|
Image Classification (HP)
|
100% |
8079
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7381
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5974
96.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9495
153.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10505
170.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20059
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53286
62.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
57727
67.7 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8084
641.2 IPS |
|
|
Object Detection (Q)
|
93% |
8034
641.0 IPS |
|
|
Face Detection (SP)
|
100% |
11697
139.0 IPS |
|
|
Face Detection (HP)
|
100% |
23033
273.7 IPS |
|
|
Face Detection (Q)
|
100% |
17862
212.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17829
137.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35408
272.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
38155
297.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43365
55.7 IPS |
|
|
Style Transfer (HP)
|
100% |
94322
121.3 IPS |
|
|
Style Transfer (Q)
|
96% |
118568
153.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9537
352.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19102
705.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22182
819.1 IPS |
|
|
Text Classification (SP)
|
100% |
3520
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6420
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6540
8.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
5204
89.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4737
81.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4866
84.1 IPS |
