iPhone18,1 low power mode iPhone18,1
Geekbench AI Score
6638
Single Precision Score
12283
Half Precision Score
11000
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | pixelcort |
| Upload Date | September 28 2025 05:27 AM |
| Views | 4 |
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)
|
100% |
2926
544.2 IPS |
|
|
Image Classification (HP)
|
100% |
6483
1.21 KIPS |
|
|
Image Classification (Q)
|
97% |
5747
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5891
95.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8795
142.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9879
160.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17271
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
53034
61.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
58237
68.3 IPS |
|
|
Object Detection (SP)
|
100% |
4116
326.5 IPS |
|
|
Object Detection (HP)
|
100% |
7114
564.3 IPS |
|
|
Object Detection (Q)
|
93% |
3143
250.8 IPS |
|
|
Face Detection (SP)
|
100% |
9097
108.1 IPS |
|
|
Face Detection (HP)
|
100% |
20000
237.6 IPS |
|
|
Face Detection (Q)
|
100% |
16058
190.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17993
138.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
34141
263.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
23698
185.0 IPS |
|
|
Style Transfer (SP)
|
100% |
44105
56.7 IPS |
|
|
Style Transfer (HP)
|
100% |
95909
123.3 IPS |
|
|
Style Transfer (Q)
|
96% |
118888
153.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10377
383.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17533
647.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17095
631.2 IPS |
|
|
Text Classification (SP)
|
100% |
1385
1.85 KIPS |
|
|
Text Classification (HP)
|
99% |
2513
3.35 KIPS |
|
|
Text Classification (Q)
|
93% |
2506
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1307
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1260
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1288
22.3 IPS |
