iPhone18,1
Geekbench AI Score
5115
Single Precision Score
8381
Half Precision Score
6521
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Moklonus |
| Upload Date | September 21 2025 06:40 PM |
| Views | 10 |
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% |
2327
432.7 IPS |
|
|
Image Classification (HP)
|
100% |
3755
698.4 IPS |
|
|
Image Classification (Q)
|
96% |
2420
452.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3017
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3427
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9978
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18762
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15167
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2559
203.0 IPS |
|
|
Object Detection (HP)
|
97% |
4146
330.0 IPS |
|
|
Object Detection (Q)
|
94% |
2761
220.0 IPS |
|
|
Face Detection (SP)
|
100% |
4430
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
8306
98.7 IPS |
|
|
Face Detection (Q)
|
100% |
4252
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8384
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14262
110.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9849
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24639
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38695
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31627
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5676
209.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6976
257.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5022
185.4 IPS |
|
|
Text Classification (SP)
|
100% |
3531
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6396
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6378
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5267
90.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9498
164.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9451
163.3 IPS |
