iPhone18,1
Geekbench AI Score
5066
Single Precision Score
8364
Half Precision Score
6527
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | sbeezy99 |
| Upload Date | November 13 2025 07:35 AM |
| Views | 5 |
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% |
2351
437.2 IPS |
|
|
Image Classification (HP)
|
100% |
3738
695.1 IPS |
|
|
Image Classification (Q)
|
96% |
2506
468.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3057
49.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3432
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9617
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18559
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15688
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2527
200.5 IPS |
|
|
Object Detection (HP)
|
97% |
4159
331.1 IPS |
|
|
Object Detection (Q)
|
94% |
2781
221.7 IPS |
|
|
Face Detection (SP)
|
100% |
4386
52.1 IPS |
|
|
Face Detection (HP)
|
100% |
8367
99.4 IPS |
|
|
Face Detection (Q)
|
100% |
4234
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8376
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13954
107.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9746
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24482
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38099
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30904
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5494
202.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7010
258.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4995
184.4 IPS |
|
|
Text Classification (SP)
|
100% |
3528
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6342
8.46 KIPS |
|
|
Text Classification (Q)
|
93% |
6342
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5274
90.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9607
166.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9263
160.1 IPS |
