iPhone18,3
Geekbench AI Score
4585
Single Precision Score
7718
Half Precision Score
6121
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 08:37 PM |
| Views | 4 |
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% |
2167
403.1 IPS |
|
|
Image Classification (HP)
|
100% |
3516
653.8 IPS |
|
|
Image Classification (Q)
|
96% |
2369
442.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1835
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2904
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3307
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9225
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17854
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15189
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2385
189.2 IPS |
|
|
Object Detection (HP)
|
97% |
3937
313.4 IPS |
|
|
Object Detection (Q)
|
94% |
2633
209.9 IPS |
|
|
Face Detection (SP)
|
100% |
3482
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
7225
85.8 IPS |
|
|
Face Detection (Q)
|
100% |
3952
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8052
62.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13243
102.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9265
72.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21414
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36623
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29998
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5122
189.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6759
249.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4837
178.6 IPS |
|
|
Text Classification (SP)
|
100% |
3580
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6416
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6338
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4270
73.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6881
118.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7008
121.1 IPS |
