iPhone18,1
Geekbench AI Score
9115
Single Precision Score
16497
Half Precision Score
16959
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | nathanjliu |
| Upload Date | October 31 2025 07:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
4277
795.4 IPS |
|
|
Image Classification (HP)
|
100% |
8080
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7495
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6052
98.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9527
154.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10475
169.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20187
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53492
62.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
58325
68.4 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8065
639.7 IPS |
|
|
Object Detection (Q)
|
93% |
8036
641.1 IPS |
|
|
Face Detection (SP)
|
100% |
11799
140.2 IPS |
|
|
Face Detection (HP)
|
100% |
23101
274.5 IPS |
|
|
Face Detection (Q)
|
100% |
17958
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17939
138.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35401
272.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
38044
297.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43445
55.8 IPS |
|
|
Style Transfer (HP)
|
100% |
94484
121.5 IPS |
|
|
Style Transfer (Q)
|
96% |
119232
153.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10428
385.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19384
715.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22133
817.3 IPS |
|
|
Text Classification (SP)
|
100% |
3534
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6507
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6415
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5079
87.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4614
79.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4624
79.9 IPS |
