iPhone18,1 low power mode iPhone18,1
Geekbench AI Score
2139
Single Precision Score
3441
Half Precision Score
2679
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | pixelcort |
| Upload Date | September 28 2025 05:17 AM |
| Views | 5 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
923
171.6 IPS |
|
|
Image Classification (HP)
|
100% |
1441
268.0 IPS |
|
|
Image Classification (Q)
|
96% |
949
177.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
942
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1324
21.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1374
22.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4508
5.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
8082
9.43 IPS |
|
|
Pose Estimation (Q)
|
95% |
6847
8.02 IPS |
|
|
Object Detection (SP)
|
100% |
1094
86.8 IPS |
|
|
Object Detection (HP)
|
97% |
1676
133.5 IPS |
|
|
Object Detection (Q)
|
94% |
1139
90.8 IPS |
|
|
Face Detection (SP)
|
100% |
1797
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
3323
39.5 IPS |
|
|
Face Detection (Q)
|
100% |
1732
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3679
28.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
6021
46.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4153
32.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10512
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15758
20.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12938
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2401
88.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2997
110.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2099
77.5 IPS |
|
|
Text Classification (SP)
|
100% |
1384
1.85 KIPS |
|
|
Text Classification (HP)
|
99% |
2519
3.36 KIPS |
|
|
Text Classification (Q)
|
93% |
2502
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2033
35.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3788
65.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3845
66.4 IPS |
