iPhone18,3
Geekbench AI Score
8006
Single Precision Score
15370
Half Precision Score
15336
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 30 2025 02:02 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
3661
680.8 IPS |
|
|
Image Classification (HP)
|
100% |
7415
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
6586
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5067
82.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8744
141.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9037
146.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18240
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
49443
57.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
57555
67.5 IPS |
|
|
Object Detection (SP)
|
100% |
3928
311.6 IPS |
|
|
Object Detection (HP)
|
100% |
7383
585.6 IPS |
|
|
Object Detection (Q)
|
93% |
6818
544.0 IPS |
|
|
Face Detection (SP)
|
100% |
9395
111.6 IPS |
|
|
Face Detection (HP)
|
100% |
19204
228.2 IPS |
|
|
Face Detection (Q)
|
100% |
14644
174.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15714
121.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
33326
256.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
35361
276.1 IPS |
|
|
Style Transfer (SP)
|
100% |
38632
49.7 IPS |
|
|
Style Transfer (HP)
|
100% |
89369
114.9 IPS |
|
|
Style Transfer (Q)
|
96% |
105786
136.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9204
339.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18378
678.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19299
712.6 IPS |
|
|
Text Classification (SP)
|
100% |
3406
4.55 KIPS |
|
|
Text Classification (HP)
|
99% |
6427
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6324
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4554
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4604
79.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4610
79.7 IPS |
