iPhone18,4
Geekbench AI Score
8194
Single Precision Score
15516
Half Precision Score
15785
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 15 2025 04:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
3905
726.2 IPS |
|
|
Image Classification (HP)
|
100% |
7364
1.37 KIPS |
|
|
Image Classification (Q)
|
97% |
6833
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5331
86.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8719
141.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9279
150.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17912
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
47961
56.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
56373
66.1 IPS |
|
|
Object Detection (SP)
|
100% |
3907
309.9 IPS |
|
|
Object Detection (HP)
|
100% |
7503
595.1 IPS |
|
|
Object Detection (Q)
|
93% |
7005
558.9 IPS |
|
|
Face Detection (SP)
|
100% |
10827
128.7 IPS |
|
|
Face Detection (HP)
|
100% |
21512
255.6 IPS |
|
|
Face Detection (Q)
|
100% |
16289
193.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15773
121.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
33104
255.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
34817
271.8 IPS |
|
|
Style Transfer (SP)
|
100% |
39257
50.5 IPS |
|
|
Style Transfer (HP)
|
100% |
87381
112.3 IPS |
|
|
Style Transfer (Q)
|
96% |
107945
139.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9154
338.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17702
653.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20018
739.2 IPS |
|
|
Text Classification (SP)
|
100% |
3619
4.83 KIPS |
|
|
Text Classification (HP)
|
99% |
6508
8.69 KIPS |
|
|
Text Classification (Q)
|
93% |
6401
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4218
72.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4884
84.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4890
84.5 IPS |
