iPhone18,3
Geekbench AI Score
4681
Single Precision Score
7847
Half Precision Score
6250
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | checcobai |
| Upload Date | September 27 2025 09:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2210
411.0 IPS |
|
|
Image Classification (HP)
|
100% |
3521
654.7 IPS |
|
|
Image Classification (Q)
|
96% |
2387
445.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1804
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2915
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3296
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9773
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18468
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15579
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2452
194.5 IPS |
|
|
Object Detection (HP)
|
97% |
4062
323.4 IPS |
|
|
Object Detection (Q)
|
94% |
2796
222.9 IPS |
|
|
Face Detection (SP)
|
100% |
3711
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
7339
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
4087
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8312
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13804
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9924
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22043
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37997
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31421
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5490
202.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6922
255.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4972
183.6 IPS |
|
|
Text Classification (SP)
|
100% |
3265
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
6210
8.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5987
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
4343
74.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6952
120.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6998
120.9 IPS |
