iPhone18,3
Geekbench AI Score
4486
Single Precision Score
7634
Half Precision Score
5953
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 06:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2103
391.1 IPS |
|
|
Image Classification (HP)
|
100% |
3508
652.3 IPS |
|
|
Image Classification (Q)
|
96% |
2380
444.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1797
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2994
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3045
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9063
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17007
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14173
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2333
185.1 IPS |
|
|
Object Detection (HP)
|
97% |
3871
308.2 IPS |
|
|
Object Detection (Q)
|
94% |
2552
203.4 IPS |
|
|
Face Detection (SP)
|
100% |
3437
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
6929
82.3 IPS |
|
|
Face Detection (Q)
|
100% |
3716
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7924
61.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13420
103.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9243
72.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21010
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35912
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29445
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5181
191.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6777
250.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4767
176.0 IPS |
|
|
Text Classification (SP)
|
100% |
3475
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
6694
8.93 KIPS |
|
|
Text Classification (Q)
|
93% |
6709
9.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
4015
69.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6418
110.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6600
114.1 IPS |
