iPhone18,3
Geekbench AI Score
8029
Single Precision Score
15603
Half Precision Score
15605
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 06:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
3637
676.3 IPS |
|
|
Image Classification (HP)
|
100% |
7283
1.35 KIPS |
|
|
Image Classification (Q)
|
97% |
6515
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5044
81.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8761
142.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9047
146.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18429
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
49872
58.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
57881
67.8 IPS |
|
|
Object Detection (SP)
|
100% |
3925
311.4 IPS |
|
|
Object Detection (HP)
|
100% |
7427
589.1 IPS |
|
|
Object Detection (Q)
|
93% |
6839
545.6 IPS |
|
|
Face Detection (SP)
|
100% |
9328
110.8 IPS |
|
|
Face Detection (HP)
|
100% |
19313
229.5 IPS |
|
|
Face Detection (Q)
|
100% |
14617
173.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15773
121.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
33396
257.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
35115
274.2 IPS |
|
|
Style Transfer (SP)
|
100% |
38805
49.9 IPS |
|
|
Style Transfer (HP)
|
100% |
90494
116.3 IPS |
|
|
Style Transfer (Q)
|
96% |
106080
136.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9303
343.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18315
676.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19414
716.9 IPS |
|
|
Text Classification (SP)
|
100% |
3468
4.63 KIPS |
|
|
Text Classification (HP)
|
99% |
6306
8.42 KIPS |
|
|
Text Classification (Q)
|
93% |
6481
8.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4557
78.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5371
92.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5358
92.6 IPS |
