iPhone18,1
Geekbench AI Score
5059
Single Precision Score
8328
Half Precision Score
6569
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | rabaksh |
| Upload Date | October 04 2025 05:05 PM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| 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 | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2317
430.9 IPS |
|
|
Image Classification (HP)
|
100% |
3588
667.2 IPS |
|
|
Image Classification (Q)
|
96% |
2470
461.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2088
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3030
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3413
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10199
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18558
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15597
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2538
201.3 IPS |
|
|
Object Detection (HP)
|
97% |
4108
327.0 IPS |
|
|
Object Detection (Q)
|
94% |
2785
222.0 IPS |
|
|
Face Detection (SP)
|
100% |
4308
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
8306
98.7 IPS |
|
|
Face Detection (Q)
|
100% |
4258
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8362
64.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14028
108.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9887
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24401
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38160
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31540
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5597
206.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7024
259.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5022
185.4 IPS |
|
|
Text Classification (SP)
|
100% |
3545
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6596
8.80 KIPS |
|
|
Text Classification (Q)
|
93% |
6593
8.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
5037
86.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9403
162.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9308
160.8 IPS |
