iPhone18,1
Geekbench AI Score
5046
Single Precision Score
8228
Half Precision Score
6494
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 08:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2334
434.1 IPS |
|
|
Image Classification (HP)
|
100% |
3617
672.6 IPS |
|
|
Image Classification (Q)
|
96% |
2439
455.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2044
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2962
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3410
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9873
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18261
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15718
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2569
203.8 IPS |
|
|
Object Detection (HP)
|
97% |
4107
327.0 IPS |
|
|
Object Detection (Q)
|
94% |
2727
217.4 IPS |
|
|
Face Detection (SP)
|
100% |
4454
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
8266
98.2 IPS |
|
|
Face Detection (Q)
|
100% |
4213
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8304
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13930
107.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9945
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24068
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37305
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30546
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5353
197.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6920
255.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4917
181.6 IPS |
|
|
Text Classification (SP)
|
100% |
3527
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6326
8.44 KIPS |
|
|
Text Classification (Q)
|
93% |
6311
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
5263
90.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9422
162.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9426
162.9 IPS |
