iPhone18,1
Geekbench AI Score
5026
Single Precision Score
8183
Half Precision Score
6555
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | EthanLallak |
| Upload Date | December 07 2025 06:04 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% |
2333
433.9 IPS |
|
|
Image Classification (HP)
|
100% |
3773
701.6 IPS |
|
|
Image Classification (Q)
|
96% |
2496
466.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2595
42.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3320
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8833
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16615
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15702
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2569
203.7 IPS |
|
|
Object Detection (HP)
|
97% |
4174
332.3 IPS |
|
|
Object Detection (Q)
|
94% |
2803
223.5 IPS |
|
|
Face Detection (SP)
|
100% |
4369
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
8412
100.0 IPS |
|
|
Face Detection (Q)
|
100% |
4279
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8383
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14257
110.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9925
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24751
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38521
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31216
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5612
207.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7026
259.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5003
184.7 IPS |
|
|
Text Classification (SP)
|
100% |
3571
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6519
8.70 KIPS |
|
|
Text Classification (Q)
|
93% |
6368
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5039
86.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9379
162.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9512
164.4 IPS |
