iPhone18,4
Geekbench AI Score
5029
Single Precision Score
8160
Half Precision Score
6466
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 07:32 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2302
428.1 IPS |
|
|
Image Classification (HP)
|
100% |
3706
689.2 IPS |
|
|
Image Classification (Q)
|
96% |
2464
460.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2984
48.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3389
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10411
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18212
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15758
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2495
197.9 IPS |
|
|
Object Detection (HP)
|
97% |
4042
321.8 IPS |
|
|
Object Detection (Q)
|
94% |
2710
216.0 IPS |
|
|
Face Detection (SP)
|
100% |
4185
49.7 IPS |
|
|
Face Detection (HP)
|
100% |
7879
93.6 IPS |
|
|
Face Detection (Q)
|
100% |
4157
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8209
63.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13830
106.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9738
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24050
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36794
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30240
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5458
201.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6951
256.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4946
182.6 IPS |
|
|
Text Classification (SP)
|
100% |
3534
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6387
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6334
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5145
88.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9035
156.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9342
161.4 IPS |
