iPhone18,4
Geekbench AI Score
4839
Single Precision Score
7931
Half Precision Score
6243
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 08:15 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2317
430.9 IPS |
|
|
Image Classification (HP)
|
100% |
3671
682.7 IPS |
|
|
Image Classification (Q)
|
96% |
2432
454.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2018
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2887
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3280
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9521
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17615
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15034
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2372
188.2 IPS |
|
|
Object Detection (HP)
|
97% |
3739
297.7 IPS |
|
|
Object Detection (Q)
|
94% |
2590
206.4 IPS |
|
|
Face Detection (SP)
|
100% |
4044
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
7717
91.7 IPS |
|
|
Face Detection (Q)
|
100% |
3952
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7927
61.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13341
103.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9400
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23506
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36703
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29002
37.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5487
202.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6887
254.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4905
181.1 IPS |
|
|
Text Classification (SP)
|
100% |
3544
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6410
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6392
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4555
78.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8466
146.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8572
148.1 IPS |
