iPhone18,4
Geekbench AI Score
5084
Single Precision Score
8371
Half Precision Score
6652
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 01 2025 07:21 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2338
434.8 IPS |
|
|
Image Classification (HP)
|
100% |
3756
698.5 IPS |
|
|
Image Classification (Q)
|
96% |
2504
467.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3026
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3391
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10849
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19148
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16426
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2538
201.4 IPS |
|
|
Object Detection (HP)
|
97% |
4131
328.8 IPS |
|
|
Object Detection (Q)
|
94% |
2824
225.1 IPS |
|
|
Face Detection (SP)
|
100% |
4452
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
8284
98.4 IPS |
|
|
Face Detection (Q)
|
100% |
4461
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8486
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14218
109.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10179
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24649
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37465
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31154
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5556
205.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6915
255.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4989
184.2 IPS |
|
|
Text Classification (SP)
|
100% |
3494
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6456
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6453
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4699
80.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9546
164.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9461
163.5 IPS |
