iPhone18,4
Geekbench AI Score
4995
Single Precision Score
8121
Half Precision Score
6420
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 23 2025 10:27 PM |
| Views | 3 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2345
436.2 IPS |
|
|
Image Classification (HP)
|
100% |
3756
698.5 IPS |
|
|
Image Classification (Q)
|
96% |
2471
461.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2975
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3397
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9954
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17941
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15078
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2419
191.9 IPS |
|
|
Object Detection (HP)
|
97% |
3931
312.9 IPS |
|
|
Object Detection (Q)
|
94% |
2698
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
4200
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
7914
94.0 IPS |
|
|
Face Detection (Q)
|
100% |
4066
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8141
62.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13655
105.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9433
73.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23715
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37022
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30247
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5458
201.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6833
252.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4963
183.3 IPS |
|
|
Text Classification (SP)
|
100% |
3548
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6449
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6449
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
5227
90.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8991
155.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9392
162.3 IPS |
