iPhone18,4
Geekbench AI Score
7942
Single Precision Score
15332
Half Precision Score
15219
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 06:51 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% |
3934
731.7 IPS |
|
|
Image Classification (HP)
|
100% |
7475
1.39 KIPS |
|
|
Image Classification (Q)
|
97% |
6875
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5347
86.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8924
144.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9269
150.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18414
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
49686
58.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
57478
67.4 IPS |
|
|
Object Detection (SP)
|
100% |
3963
314.3 IPS |
|
|
Object Detection (HP)
|
100% |
7692
610.2 IPS |
|
|
Object Detection (Q)
|
93% |
7047
562.2 IPS |
|
|
Face Detection (SP)
|
100% |
11007
130.8 IPS |
|
|
Face Detection (HP)
|
100% |
22039
261.9 IPS |
|
|
Face Detection (Q)
|
100% |
15953
189.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14673
113.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
32873
253.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
35578
277.8 IPS |
|
|
Style Transfer (SP)
|
100% |
35825
46.1 IPS |
|
|
Style Transfer (HP)
|
100% |
69569
89.4 IPS |
|
|
Style Transfer (Q)
|
96% |
82897
107.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8255
304.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18015
665.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19962
737.1 IPS |
|
|
Text Classification (SP)
|
100% |
3496
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6368
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6315
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3897
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4870
83.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4355
75.3 IPS |
