iPhone18,4
Geekbench AI Score
7465
Single Precision Score
13731
Half Precision Score
13115
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 31 2025 04:37 AM |
| Views | 6 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3969
738.0 IPS |
|
|
Image Classification (HP)
|
100% |
7431
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
6864
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5365
87.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8941
144.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9314
151.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18119
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
48796
56.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
52941
62.1 IPS |
|
|
Object Detection (SP)
|
100% |
2978
236.2 IPS |
|
|
Object Detection (HP)
|
100% |
7237
574.0 IPS |
|
|
Object Detection (Q)
|
93% |
7124
568.3 IPS |
|
|
Face Detection (SP)
|
100% |
10910
129.6 IPS |
|
|
Face Detection (HP)
|
100% |
21124
251.0 IPS |
|
|
Face Detection (Q)
|
100% |
15811
187.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13891
107.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
31256
240.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
35524
277.4 IPS |
|
|
Style Transfer (SP)
|
100% |
33879
43.6 IPS |
|
|
Style Transfer (HP)
|
100% |
68415
87.9 IPS |
|
|
Style Transfer (Q)
|
96% |
81234
104.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7589
280.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17448
644.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19589
723.3 IPS |
|
|
Text Classification (SP)
|
100% |
3540
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6376
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6349
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3394
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2022
34.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1101
19.0 IPS |
