iPhone18,3
Geekbench AI Score
8082
Single Precision Score
15484
Half Precision Score
15440
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | checcobai |
| Upload Date | September 27 2025 10:00 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3651
679.1 IPS |
|
|
Image Classification (HP)
|
100% |
7401
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
6655
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5077
82.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8798
142.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9082
147.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18489
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
50259
58.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
57839
67.8 IPS |
|
|
Object Detection (SP)
|
100% |
3929
311.7 IPS |
|
|
Object Detection (HP)
|
100% |
7452
591.1 IPS |
|
|
Object Detection (Q)
|
93% |
6829
544.8 IPS |
|
|
Face Detection (SP)
|
100% |
9501
112.9 IPS |
|
|
Face Detection (HP)
|
100% |
19439
231.0 IPS |
|
|
Face Detection (Q)
|
100% |
14747
175.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15888
122.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
33831
260.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
35574
277.7 IPS |
|
|
Style Transfer (SP)
|
100% |
39113
50.3 IPS |
|
|
Style Transfer (HP)
|
100% |
90890
116.8 IPS |
|
|
Style Transfer (Q)
|
96% |
106414
137.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9313
343.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18342
677.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19596
723.6 IPS |
|
|
Text Classification (SP)
|
100% |
3492
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6419
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6411
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4602
79.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4618
79.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4599
79.5 IPS |
