iPhone18,1
Geekbench AI Score
9074
Single Precision Score
16848
Half Precision Score
17517
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 02:38 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4277
795.4 IPS |
|
|
Image Classification (HP)
|
100% |
8035
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7527
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6046
98.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9508
154.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10530
170.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20189
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53394
62.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
58772
68.9 IPS |
|
|
Object Detection (SP)
|
100% |
4405
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8146
646.2 IPS |
|
|
Object Detection (Q)
|
93% |
8084
644.9 IPS |
|
|
Face Detection (SP)
|
100% |
11556
137.3 IPS |
|
|
Face Detection (HP)
|
100% |
22923
272.4 IPS |
|
|
Face Detection (Q)
|
100% |
17965
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17916
138.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35363
272.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
38321
299.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43473
55.9 IPS |
|
|
Style Transfer (HP)
|
100% |
94631
121.6 IPS |
|
|
Style Transfer (Q)
|
96% |
119739
154.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10410
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18803
694.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22770
840.8 IPS |
|
|
Text Classification (SP)
|
100% |
3568
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6415
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6399
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4924
84.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5995
103.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6015
103.9 IPS |
