iPhone18,1
Geekbench AI Score
5088
Single Precision Score
8299
Half Precision Score
6564
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 18 2025 06:40 PM |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2321
431.7 IPS |
|
|
Image Classification (HP)
|
100% |
3671
682.7 IPS |
|
|
Image Classification (Q)
|
96% |
2476
462.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2156
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3038
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3415
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10101
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18853
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15296
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2556
202.7 IPS |
|
|
Object Detection (HP)
|
97% |
4102
326.5 IPS |
|
|
Object Detection (Q)
|
94% |
2806
223.7 IPS |
|
|
Face Detection (SP)
|
100% |
4466
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
8243
97.9 IPS |
|
|
Face Detection (Q)
|
100% |
4258
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8329
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13903
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9966
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24322
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37438
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30699
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5416
200.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6860
253.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4943
182.5 IPS |
|
|
Text Classification (SP)
|
100% |
3541
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6463
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6679
8.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5193
89.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9450
163.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9518
164.5 IPS |
