iPhone18,1
Geekbench AI Score
5246
Single Precision Score
8529
Half Precision Score
6770
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 09:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2359
438.8 IPS |
|
|
Image Classification (HP)
|
100% |
3822
710.7 IPS |
|
|
Image Classification (Q)
|
96% |
2518
470.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3091
50.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3498
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11333
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20325
23.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17390
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
2700
214.2 IPS |
|
|
Object Detection (HP)
|
97% |
4257
338.9 IPS |
|
|
Object Detection (Q)
|
94% |
2940
234.4 IPS |
|
|
Face Detection (SP)
|
100% |
4707
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
8608
102.3 IPS |
|
|
Face Detection (Q)
|
100% |
4652
55.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8658
66.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14518
112.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10322
80.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25300
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39528
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32456
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5813
214.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7039
259.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5071
187.2 IPS |
|
|
Text Classification (SP)
|
100% |
3279
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6085
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5930
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5250
90.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9424
162.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9594
165.8 IPS |
