iPhone18,3
Geekbench AI Score
4717
Single Precision Score
7904
Half Precision Score
6343
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 06:28 PM |
| Views | 2 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2202
409.4 IPS |
|
|
Image Classification (HP)
|
100% |
3572
664.3 IPS |
|
|
Image Classification (Q)
|
96% |
2400
448.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1870
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2922
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3301
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9947
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19264
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16465
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2503
198.5 IPS |
|
|
Object Detection (HP)
|
97% |
4062
323.4 IPS |
|
|
Object Detection (Q)
|
94% |
2839
226.3 IPS |
|
|
Face Detection (SP)
|
100% |
3702
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
7278
86.5 IPS |
|
|
Face Detection (Q)
|
100% |
4223
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8369
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14086
108.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10076
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22106
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38601
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31955
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5434
200.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6923
255.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4971
183.6 IPS |
|
|
Text Classification (SP)
|
100% |
3306
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
6195
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6052
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
4329
74.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6872
118.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6961
120.3 IPS |
