iPhone18,4
Geekbench AI Score
5005
Single Precision Score
8306
Half Precision Score
6522
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | November 24 2025 12:21 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2352
437.4 IPS |
|
|
Image Classification (HP)
|
100% |
3794
705.6 IPS |
|
|
Image Classification (Q)
|
96% |
2489
464.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2069
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3119
50.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3342
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10195
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18278
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15856
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2498
198.1 IPS |
|
|
Object Detection (HP)
|
97% |
4034
321.1 IPS |
|
|
Object Detection (Q)
|
94% |
2760
220.0 IPS |
|
|
Face Detection (SP)
|
100% |
4299
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
8093
96.2 IPS |
|
|
Face Detection (Q)
|
100% |
4281
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8096
62.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13920
107.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9903
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24361
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37472
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31099
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5534
204.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6917
255.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4974
183.7 IPS |
|
|
Text Classification (SP)
|
100% |
3503
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6500
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6436
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4845
83.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9447
163.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9075
156.8 IPS |
