iPhone18,1
Geekbench AI Score
5002
Single Precision Score
8145
Half Precision Score
6461
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | piotrga |
| Upload Date | September 22 2025 07:19 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2289
425.6 IPS |
|
|
Image Classification (HP)
|
100% |
3659
680.5 IPS |
|
|
Image Classification (Q)
|
96% |
2445
456.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2081
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2992
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3399
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9937
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18320
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15353
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2544
201.8 IPS |
|
|
Object Detection (HP)
|
97% |
4066
323.7 IPS |
|
|
Object Detection (Q)
|
94% |
2715
216.4 IPS |
|
|
Face Detection (SP)
|
100% |
4317
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
8167
97.0 IPS |
|
|
Face Detection (Q)
|
100% |
4169
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8264
63.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13881
107.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9722
75.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23644
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36794
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30347
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5337
197.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6863
253.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4855
179.3 IPS |
|
|
Text Classification (SP)
|
100% |
3546
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6361
8.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6331
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5102
87.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8654
149.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9686
167.4 IPS |
