iPhone18,4
Geekbench AI Score
7990
Single Precision Score
14993
Half Precision Score
15186
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | gbuenoandrade |
| Upload Date | September 20 2025 10:49 PM |
| Views | 4 |
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% |
3952
735.0 IPS |
|
|
Image Classification (HP)
|
100% |
7441
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
6852
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5347
86.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8847
143.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9303
150.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17902
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
48697
56.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
56942
66.7 IPS |
|
|
Object Detection (SP)
|
100% |
3937
312.3 IPS |
|
|
Object Detection (HP)
|
100% |
7601
602.9 IPS |
|
|
Object Detection (Q)
|
93% |
7047
562.2 IPS |
|
|
Face Detection (SP)
|
100% |
11023
131.0 IPS |
|
|
Face Detection (HP)
|
100% |
21758
258.5 IPS |
|
|
Face Detection (Q)
|
100% |
16213
192.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15976
123.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
33299
256.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
35604
278.0 IPS |
|
|
Style Transfer (SP)
|
100% |
34130
43.9 IPS |
|
|
Style Transfer (HP)
|
100% |
67945
87.3 IPS |
|
|
Style Transfer (Q)
|
96% |
82038
105.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7721
285.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17538
647.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19454
718.3 IPS |
|
|
Text Classification (SP)
|
100% |
3546
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6413
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6452
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4328
74.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4257
73.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4293
74.2 IPS |
