iPhone18,3
Geekbench AI Score
4595
Single Precision Score
7695
Half Precision Score
6107
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 03:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2171
403.8 IPS |
|
|
Image Classification (HP)
|
100% |
3486
648.2 IPS |
|
|
Image Classification (Q)
|
96% |
2363
441.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1840
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2910
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3287
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9340
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18052
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14918
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2412
191.3 IPS |
|
|
Object Detection (HP)
|
97% |
3932
313.0 IPS |
|
|
Object Detection (Q)
|
94% |
2660
212.0 IPS |
|
|
Face Detection (SP)
|
100% |
3594
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
7290
86.6 IPS |
|
|
Face Detection (Q)
|
100% |
3937
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8011
61.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13218
102.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9462
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21378
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36383
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30178
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5157
190.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6588
243.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4768
176.1 IPS |
|
|
Text Classification (SP)
|
100% |
3545
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6339
8.46 KIPS |
|
|
Text Classification (Q)
|
93% |
6292
8.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4148
71.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6906
119.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6944
120.0 IPS |
