iPhone18,3
Geekbench AI Score
8040
Single Precision Score
15539
Half Precision Score
15385
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 06:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,3 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3770
701.1 IPS |
|
|
Image Classification (HP)
|
100% |
7400
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
6723
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5046
81.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8739
141.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9025
146.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18054
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
50050
58.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
57929
67.9 IPS |
|
|
Object Detection (SP)
|
100% |
3934
312.1 IPS |
|
|
Object Detection (HP)
|
100% |
7480
593.3 IPS |
|
|
Object Detection (Q)
|
93% |
6847
546.2 IPS |
|
|
Face Detection (SP)
|
100% |
9349
111.1 IPS |
|
|
Face Detection (HP)
|
100% |
19064
226.5 IPS |
|
|
Face Detection (Q)
|
100% |
14637
173.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15821
121.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
34017
262.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
35403
276.4 IPS |
|
|
Style Transfer (SP)
|
100% |
38564
49.6 IPS |
|
|
Style Transfer (HP)
|
100% |
90623
116.5 IPS |
|
|
Style Transfer (Q)
|
96% |
106278
137.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9353
345.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18857
696.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19779
730.3 IPS |
|
|
Text Classification (SP)
|
100% |
3409
4.55 KIPS |
|
|
Text Classification (HP)
|
99% |
6598
8.81 KIPS |
|
|
Text Classification (Q)
|
93% |
6121
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4598
79.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4638
79.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4631
80.0 IPS |
