iPhone18,1
Geekbench AI Score
5053
Single Precision Score
8271
Half Precision Score
6555
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | neilco |
| Upload Date | September 20 2025 07:09 AM |
| Views | 2 |
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% |
2320
431.5 IPS |
|
|
Image Classification (HP)
|
100% |
3716
691.0 IPS |
|
|
Image Classification (Q)
|
96% |
2491
465.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3072
49.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3445
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9995
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17579
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15494
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2534
201.0 IPS |
|
|
Object Detection (HP)
|
97% |
4163
331.4 IPS |
|
|
Object Detection (Q)
|
94% |
2792
222.5 IPS |
|
|
Face Detection (SP)
|
100% |
4302
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
8165
97.0 IPS |
|
|
Face Detection (Q)
|
100% |
4235
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8355
64.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13902
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9786
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23690
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37589
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31251
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5534
204.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6977
257.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5019
185.3 IPS |
|
|
Text Classification (SP)
|
100% |
3589
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6486
8.66 KIPS |
|
|
Text Classification (Q)
|
93% |
6470
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5118
88.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9296
160.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9391
162.3 IPS |
