iPhone18,1
Geekbench AI Score
5121
Single Precision Score
8339
Half Precision Score
6534
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 10:20 AM |
| Views | 1 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2316
430.7 IPS |
|
|
Image Classification (HP)
|
100% |
3679
684.1 IPS |
|
|
Image Classification (Q)
|
96% |
2472
461.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2113
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3020
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3427
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10415
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18947
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16187
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2577
204.4 IPS |
|
|
Object Detection (HP)
|
97% |
4136
329.2 IPS |
|
|
Object Detection (Q)
|
94% |
2829
225.5 IPS |
|
|
Face Detection (SP)
|
100% |
4585
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
8404
99.9 IPS |
|
|
Face Detection (Q)
|
100% |
4353
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8409
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14219
109.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9992
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24136
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37791
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30733
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5498
203.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6955
256.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4935
182.2 IPS |
|
|
Text Classification (SP)
|
100% |
3532
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6453
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5898
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
5227
90.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9223
159.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9404
162.5 IPS |
