iPhone18,4
Geekbench AI Score
4855
Single Precision Score
8033
Half Precision Score
6311
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 07:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,4 |
| Model ID | iPhone18,4 |
| Motherboard | D23AP |
| 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 | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2329
433.2 IPS |
|
|
Image Classification (HP)
|
100% |
3747
696.7 IPS |
|
|
Image Classification (Q)
|
96% |
2416
451.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2074
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3016
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3296
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9415
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16790
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14658
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2346
186.0 IPS |
|
|
Object Detection (HP)
|
97% |
3926
312.5 IPS |
|
|
Object Detection (Q)
|
94% |
2615
208.4 IPS |
|
|
Face Detection (SP)
|
100% |
4065
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
7742
92.0 IPS |
|
|
Face Detection (Q)
|
100% |
3929
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7968
61.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13544
104.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9262
72.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23219
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35741
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29588
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5385
198.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6741
248.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4907
181.2 IPS |
|
|
Text Classification (SP)
|
100% |
3612
4.82 KIPS |
|
|
Text Classification (HP)
|
99% |
6743
9.00 KIPS |
|
|
Text Classification (Q)
|
93% |
6899
9.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
4668
80.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8823
152.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9022
155.9 IPS |
