iPhone18,3
Geekbench AI Score
7982
Single Precision Score
15337
Half Precision Score
15290
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 06:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3646
678.0 IPS |
|
|
Image Classification (HP)
|
100% |
7184
1.34 KIPS |
|
|
Image Classification (Q)
|
97% |
6477
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5014
81.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8744
141.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8987
145.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18041
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
49846
58.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
57671
67.6 IPS |
|
|
Object Detection (SP)
|
100% |
3915
310.5 IPS |
|
|
Object Detection (HP)
|
100% |
7394
586.5 IPS |
|
|
Object Detection (Q)
|
93% |
6775
540.5 IPS |
|
|
Face Detection (SP)
|
100% |
9212
109.5 IPS |
|
|
Face Detection (HP)
|
100% |
18990
225.6 IPS |
|
|
Face Detection (Q)
|
100% |
14557
173.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15786
121.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
33356
257.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
34975
273.1 IPS |
|
|
Style Transfer (SP)
|
100% |
38577
49.6 IPS |
|
|
Style Transfer (HP)
|
100% |
89992
115.7 IPS |
|
|
Style Transfer (Q)
|
96% |
106103
136.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9231
340.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18325
676.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19395
716.2 IPS |
|
|
Text Classification (SP)
|
100% |
3450
4.61 KIPS |
|
|
Text Classification (HP)
|
99% |
6513
8.69 KIPS |
|
|
Text Classification (Q)
|
93% |
6414
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4556
78.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4572
78.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4572
79.0 IPS |
