iPhone18,1
Geekbench AI Score
4395
Single Precision Score
7695
Half Precision Score
5960
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | cloudit0 |
| Upload Date | September 26 2025 01:29 PM |
| Views | 7 |
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% |
2312
430.0 IPS |
|
|
Image Classification (HP)
|
100% |
3715
691.0 IPS |
|
|
Image Classification (Q)
|
96% |
2440
455.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3123
50.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3316
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9290
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17577
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14710
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2368
187.9 IPS |
|
|
Object Detection (HP)
|
97% |
3814
303.7 IPS |
|
|
Object Detection (Q)
|
94% |
2457
195.8 IPS |
|
|
Face Detection (SP)
|
100% |
3852
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
7058
83.9 IPS |
|
|
Face Detection (Q)
|
100% |
3494
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7055
54.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
12128
93.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8683
67.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20492
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33306
42.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27426
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5108
188.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6636
245.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4739
175.0 IPS |
|
|
Text Classification (SP)
|
100% |
3485
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6129
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5829
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2496
43.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8077
139.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8428
145.6 IPS |
