iPhone18,4
Geekbench AI Score
6904
Single Precision Score
14827
Half Precision Score
15259
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | VenomF5 |
| Upload Date | October 18 2025 07:18 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,4 |
| Model ID | iPhone18,4 |
| Motherboard | D23AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3900
725.2 IPS |
|
|
Image Classification (HP)
|
100% |
7441
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
6875
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5189
84.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8777
142.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9274
150.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13791
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
41564
48.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
52410
61.4 IPS |
|
|
Object Detection (SP)
|
100% |
2977
236.1 IPS |
|
|
Object Detection (HP)
|
100% |
7446
590.6 IPS |
|
|
Object Detection (Q)
|
93% |
7125
568.4 IPS |
|
|
Face Detection (SP)
|
100% |
10946
130.1 IPS |
|
|
Face Detection (HP)
|
100% |
20418
242.6 IPS |
|
|
Face Detection (Q)
|
100% |
15770
187.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14414
111.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
32858
253.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
35077
273.9 IPS |
|
|
Style Transfer (SP)
|
100% |
34982
45.0 IPS |
|
|
Style Transfer (HP)
|
100% |
69400
89.2 IPS |
|
|
Style Transfer (Q)
|
96% |
83094
107.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7379
272.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17530
647.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19840
732.6 IPS |
|
|
Text Classification (SP)
|
100% |
3509
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6442
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6444
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2075
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4833
83.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4892
84.5 IPS |
