iPhone18,3
Geekbench AI Score
4560
Single Precision Score
7645
Half Precision Score
6124
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 12 2025 04:37 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2170
403.6 IPS |
|
|
Image Classification (HP)
|
100% |
3515
653.6 IPS |
|
|
Image Classification (Q)
|
96% |
2379
444.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1857
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2876
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3285
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8722
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17687
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15011
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2409
191.1 IPS |
|
|
Object Detection (HP)
|
97% |
3937
313.4 IPS |
|
|
Object Detection (Q)
|
94% |
2695
214.8 IPS |
|
|
Face Detection (SP)
|
100% |
3516
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
6958
82.7 IPS |
|
|
Face Detection (Q)
|
100% |
3894
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7956
61.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13278
102.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9442
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21070
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35518
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29816
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5038
186.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6698
247.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4779
176.5 IPS |
|
|
Text Classification (SP)
|
100% |
3556
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6406
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6411
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4355
75.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6889
119.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6987
120.7 IPS |
