iPhone18,1
Geekbench AI Score
9016
Single Precision Score
16264
Half Precision Score
16827
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 03:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4239
788.3 IPS |
|
|
Image Classification (HP)
|
100% |
8076
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7480
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5933
96.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9404
152.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10320
167.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20036
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53092
61.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
57233
67.1 IPS |
|
|
Object Detection (SP)
|
100% |
4357
345.6 IPS |
|
|
Object Detection (HP)
|
100% |
8104
642.9 IPS |
|
|
Object Detection (Q)
|
93% |
8033
640.9 IPS |
|
|
Face Detection (SP)
|
100% |
11541
137.1 IPS |
|
|
Face Detection (HP)
|
100% |
22362
265.7 IPS |
|
|
Face Detection (Q)
|
100% |
17693
210.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17750
136.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35241
271.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
37979
296.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43203
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
93518
120.2 IPS |
|
|
Style Transfer (Q)
|
96% |
118058
152.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10415
384.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18347
677.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22093
815.8 IPS |
|
|
Text Classification (SP)
|
100% |
3472
4.63 KIPS |
|
|
Text Classification (HP)
|
99% |
6331
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6380
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5053
87.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4632
79.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4587
79.3 IPS |
