iPhone18,4
Geekbench AI Score
7267
Single Precision Score
15170
Half Precision Score
14360
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | arobasefr |
| Upload Date | October 21 2025 08:44 AM |
| Views | 4 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3911
727.4 IPS |
|
|
Image Classification (HP)
|
100% |
7440
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
6866
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5342
86.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8945
145.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9303
150.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18097
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
49065
57.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
57278
67.1 IPS |
|
|
Object Detection (SP)
|
100% |
3953
313.6 IPS |
|
|
Object Detection (HP)
|
100% |
7707
611.3 IPS |
|
|
Object Detection (Q)
|
93% |
7213
575.5 IPS |
|
|
Face Detection (SP)
|
100% |
10990
130.6 IPS |
|
|
Face Detection (HP)
|
100% |
21931
260.6 IPS |
|
|
Face Detection (Q)
|
100% |
15792
187.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13639
105.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
33589
258.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
35448
276.8 IPS |
|
|
Style Transfer (SP)
|
100% |
34104
43.8 IPS |
|
|
Style Transfer (HP)
|
100% |
70841
91.1 IPS |
|
|
Style Transfer (Q)
|
96% |
81909
105.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8007
295.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17952
662.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20195
745.7 IPS |
|
|
Text Classification (SP)
|
100% |
3505
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6486
8.66 KIPS |
|
|
Text Classification (Q)
|
93% |
6414
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1917
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4223
72.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2380
41.1 IPS |
