iPhone18,1
Geekbench AI Score
5122
Single Precision Score
8332
Half Precision Score
6571
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 02:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2315
430.5 IPS |
|
|
Image Classification (HP)
|
100% |
3713
690.5 IPS |
|
|
Image Classification (Q)
|
96% |
2460
459.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2999
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3439
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10532
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18697
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15952
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2599
206.1 IPS |
|
|
Object Detection (HP)
|
97% |
4145
330.0 IPS |
|
|
Object Detection (Q)
|
94% |
2822
225.0 IPS |
|
|
Face Detection (SP)
|
100% |
4567
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
8320
98.9 IPS |
|
|
Face Detection (Q)
|
100% |
4326
51.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8391
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14172
109.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9978
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23848
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37502
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30814
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5450
201.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6842
252.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4959
183.1 IPS |
|
|
Text Classification (SP)
|
100% |
3531
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6474
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6394
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5278
90.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9541
164.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9358
161.7 IPS |
