iPhone18,1
Geekbench AI Score
5121
Single Precision Score
8322
Half Precision Score
6608
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 22 2025 07:24 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2328
433.0 IPS |
|
|
Image Classification (HP)
|
100% |
3731
693.9 IPS |
|
|
Image Classification (Q)
|
96% |
2485
464.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2082
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2982
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3395
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10608
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19218
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16630
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2633
208.8 IPS |
|
|
Object Detection (HP)
|
97% |
4159
331.1 IPS |
|
|
Object Detection (Q)
|
94% |
2866
228.4 IPS |
|
|
Face Detection (SP)
|
100% |
4632
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
8524
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
4481
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8315
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14083
108.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10015
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24464
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37811
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30935
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5626
207.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6955
256.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4945
182.6 IPS |
|
|
Text Classification (SP)
|
100% |
3266
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
6066
8.10 KIPS |
|
|
Text Classification (Q)
|
93% |
6177
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
5293
91.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9357
161.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9310
160.9 IPS |
