iPhone18,3
Geekbench AI Score
7748
Single Precision Score
14398
Half Precision Score
14659
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 01 2025 07:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,3 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3617
672.6 IPS |
|
|
Image Classification (HP)
|
100% |
5807
1.08 KIPS |
|
|
Image Classification (Q)
|
97% |
5905
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5071
82.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8758
142.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9035
146.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18373
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
49693
58.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
57818
67.8 IPS |
|
|
Object Detection (SP)
|
100% |
3911
310.2 IPS |
|
|
Object Detection (HP)
|
100% |
7317
580.4 IPS |
|
|
Object Detection (Q)
|
93% |
6716
535.8 IPS |
|
|
Face Detection (SP)
|
100% |
9397
111.7 IPS |
|
|
Face Detection (HP)
|
100% |
18909
224.7 IPS |
|
|
Face Detection (Q)
|
100% |
14480
172.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15824
121.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
33552
258.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
35060
273.7 IPS |
|
|
Style Transfer (SP)
|
100% |
39002
50.1 IPS |
|
|
Style Transfer (HP)
|
100% |
90092
115.8 IPS |
|
|
Style Transfer (Q)
|
96% |
106004
136.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9287
342.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18345
677.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19236
710.3 IPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
99% |
5450
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5444
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3727
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3624
62.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3925
67.8 IPS |
