iPhone18,1
Geekbench AI Score
5201
Single Precision Score
8453
Half Precision Score
6712
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 16 2025 10:40 PM |
| Views | 1 |
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% |
2340
435.2 IPS |
|
|
Image Classification (HP)
|
100% |
3815
709.5 IPS |
|
|
Image Classification (Q)
|
96% |
2523
471.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3007
48.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3475
56.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10758
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19744
23.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16766
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2688
213.2 IPS |
|
|
Object Detection (HP)
|
97% |
4225
336.4 IPS |
|
|
Object Detection (Q)
|
94% |
2912
232.1 IPS |
|
|
Face Detection (SP)
|
100% |
4700
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
8580
101.9 IPS |
|
|
Face Detection (Q)
|
100% |
4523
53.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8587
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14414
111.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10211
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24958
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39005
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
32122
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5632
208.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6997
258.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5019
185.3 IPS |
|
|
Text Classification (SP)
|
100% |
3252
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6180
8.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6091
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
5500
94.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9332
161.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9566
165.3 IPS |
