iPhone18,1
Geekbench AI Score
3944
Single Precision Score
16598
Half Precision Score
2775
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 08:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0
|
||
|
Image Classification (HP)
|
100% |
8013
1.49 KIPS |
|
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
6085
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9589
155.4 IPS |
|
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
20355
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
53884
62.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
59057
69.2 IPS |
|
|
Object Detection (SP)
|
100% |
4405
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8166
647.7 IPS |
|
|
Object Detection (Q)
|
93% |
8176
652.3 IPS |
|
|
Face Detection (SP)
|
100% |
11746
139.6 IPS |
|
|
Face Detection (HP)
|
100% |
23108
274.6 IPS |
|
|
Face Detection (Q)
|
100% |
17972
213.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17994
138.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35784
275.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
38100
297.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43337
55.7 IPS |
|
|
Style Transfer (HP)
|
100% |
95771
123.1 IPS |
|
|
Style Transfer (Q)
|
96% |
119634
154.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10404
384.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19681
726.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22391
826.8 IPS |
|
|
Text Classification (SP)
|
100% |
3508
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6358
8.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6477
8.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
5000
86.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4738
81.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4729
81.7 IPS |
