iPhone18,3
Geekbench AI Score
8035
Single Precision Score
15554
Half Precision Score
15590
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | zisu320 |
| Upload Date | November 28 2025 07:01 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,3 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3633
675.6 IPS |
|
|
Image Classification (HP)
|
100% |
7269
1.35 KIPS |
|
|
Image Classification (Q)
|
97% |
6559
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5068
82.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8757
142.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9043
146.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18441
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
49642
57.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
57792
67.7 IPS |
|
|
Object Detection (SP)
|
100% |
3925
311.4 IPS |
|
|
Object Detection (HP)
|
100% |
7419
588.5 IPS |
|
|
Object Detection (Q)
|
93% |
6802
542.6 IPS |
|
|
Face Detection (SP)
|
100% |
9327
110.8 IPS |
|
|
Face Detection (HP)
|
100% |
19197
228.1 IPS |
|
|
Face Detection (Q)
|
100% |
14666
174.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15814
121.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
33377
257.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
35050
273.7 IPS |
|
|
Style Transfer (SP)
|
100% |
39033
50.2 IPS |
|
|
Style Transfer (HP)
|
100% |
90217
116.0 IPS |
|
|
Style Transfer (Q)
|
96% |
106099
136.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9310
343.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18309
676.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19511
720.4 IPS |
|
|
Text Classification (SP)
|
100% |
3452
4.61 KIPS |
|
|
Text Classification (HP)
|
99% |
6299
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
6276
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4554
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5305
91.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5447
94.1 IPS |
