iPhone18,4
Geekbench AI Score
4842
Single Precision Score
7951
Half Precision Score
6326
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 04:21 AM |
| Views | 2 |
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 | 4.20 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2277
423.5 IPS |
|
|
Image Classification (HP)
|
100% |
3556
661.3 IPS |
|
|
Image Classification (Q)
|
96% |
2417
451.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2027
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2902
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3302
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9619
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17732
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14962
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2366
187.7 IPS |
|
|
Object Detection (HP)
|
97% |
3839
305.6 IPS |
|
|
Object Detection (Q)
|
94% |
2563
204.3 IPS |
|
|
Face Detection (SP)
|
100% |
3986
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
7974
94.7 IPS |
|
|
Face Detection (Q)
|
100% |
4045
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7931
61.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13600
105.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9561
74.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23099
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35337
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30702
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5558
205.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6868
253.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5025
185.6 IPS |
|
|
Text Classification (SP)
|
100% |
3527
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6472
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6413
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4717
81.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8446
145.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8768
151.5 IPS |
