iPhone18,3
Geekbench AI Score
7447
Single Precision Score
14341
Half Precision Score
14271
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 10:42 AM |
| Views | 2 |
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% |
3777
702.5 IPS |
|
|
Image Classification (HP)
|
100% |
7054
1.31 KIPS |
|
|
Image Classification (Q)
|
97% |
6331
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4975
80.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8653
140.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9017
146.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18250
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
49054
57.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
56979
66.8 IPS |
|
|
Object Detection (SP)
|
100% |
3859
306.1 IPS |
|
|
Object Detection (HP)
|
100% |
7258
575.7 IPS |
|
|
Object Detection (Q)
|
93% |
6606
527.0 IPS |
|
|
Face Detection (SP)
|
100% |
8949
106.3 IPS |
|
|
Face Detection (HP)
|
100% |
18377
218.4 IPS |
|
|
Face Detection (Q)
|
100% |
14283
169.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15589
120.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
33076
254.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
33296
260.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32949
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
70994
91.3 IPS |
|
|
Style Transfer (Q)
|
96% |
82992
107.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7756
286.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18259
674.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18775
693.3 IPS |
|
|
Text Classification (SP)
|
100% |
2808
3.75 KIPS |
|
|
Text Classification (HP)
|
99% |
5478
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5684
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3964
68.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3925
67.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3874
67.0 IPS |
