iPhone18,3
Geekbench AI Score
8032
Single Precision Score
15631
Half Precision Score
15582
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 11:45 PM |
| Views | 1 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3671
682.6 IPS |
|
|
Image Classification (HP)
|
100% |
7333
1.36 KIPS |
|
|
Image Classification (Q)
|
97% |
6497
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5057
82.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8762
142.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9045
146.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18118
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
49903
58.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
57880
67.8 IPS |
|
|
Object Detection (SP)
|
100% |
3925
311.3 IPS |
|
|
Object Detection (HP)
|
100% |
7414
588.1 IPS |
|
|
Object Detection (Q)
|
93% |
6767
539.9 IPS |
|
|
Face Detection (SP)
|
100% |
9333
110.9 IPS |
|
|
Face Detection (HP)
|
100% |
19280
229.1 IPS |
|
|
Face Detection (Q)
|
100% |
14628
173.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15825
121.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
33613
259.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
35145
274.4 IPS |
|
|
Style Transfer (SP)
|
100% |
38754
49.8 IPS |
|
|
Style Transfer (HP)
|
100% |
90575
116.4 IPS |
|
|
Style Transfer (Q)
|
96% |
106370
137.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9272
342.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18321
676.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19437
717.7 IPS |
|
|
Text Classification (SP)
|
100% |
3517
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6326
8.44 KIPS |
|
|
Text Classification (Q)
|
93% |
6402
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4537
78.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5386
92.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5389
93.1 IPS |
