iPhone18,4
Geekbench AI Score
5023
Single Precision Score
8242
Half Precision Score
6441
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 04:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2284
424.8 IPS |
|
|
Image Classification (HP)
|
100% |
3769
700.9 IPS |
|
|
Image Classification (Q)
|
96% |
2465
460.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3000
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3363
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10100
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18414
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15358
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2505
198.7 IPS |
|
|
Object Detection (HP)
|
97% |
4041
321.7 IPS |
|
|
Object Detection (Q)
|
94% |
2720
216.8 IPS |
|
|
Face Detection (SP)
|
100% |
4216
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
8107
96.3 IPS |
|
|
Face Detection (Q)
|
100% |
4257
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8333
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13944
107.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9945
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24515
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37810
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31037
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5590
206.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6954
256.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5015
185.2 IPS |
|
|
Text Classification (SP)
|
100% |
3500
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6811
9.09 KIPS |
|
|
Text Classification (Q)
|
93% |
6495
8.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4952
85.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8495
146.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8295
143.3 IPS |
