iPhone18,1
Geekbench AI Score
8316
Single Precision Score
15569
Half Precision Score
16930
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 06:07 PM |
| Views | 6 |
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% |
4269
794.0 IPS |
|
|
Image Classification (HP)
|
100% |
7967
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7548
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6074
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9071
147.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10595
171.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20314
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53962
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
58884
69.0 IPS |
|
|
Object Detection (SP)
|
100% |
4405
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8076
640.6 IPS |
|
|
Object Detection (Q)
|
93% |
8032
640.8 IPS |
|
|
Face Detection (SP)
|
100% |
11821
140.5 IPS |
|
|
Face Detection (HP)
|
100% |
23105
274.5 IPS |
|
|
Face Detection (Q)
|
100% |
17967
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18025
138.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35628
274.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
39379
307.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43555
56.0 IPS |
|
|
Style Transfer (HP)
|
100% |
96380
123.9 IPS |
|
|
Style Transfer (Q)
|
96% |
120270
155.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10420
384.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19291
712.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22586
834.0 IPS |
|
|
Text Classification (SP)
|
100% |
3585
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6388
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6326
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1968
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2718
46.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4207
72.7 IPS |
