iPhone18,1 low power mode iPhone18,1
Geekbench AI Score
2145
Single Precision Score
15059
Half Precision Score
20672
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | pixelcort |
| Upload Date | September 28 2025 05:38 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
929
172.7 IPS |
|
|
Image Classification (HP)
|
100% |
7675
1.43 KIPS |
|
|
Image Classification (Q)
|
97% |
10025
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
966
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8882
144.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11795
191.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4395
5.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
62087
72.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
120285
141.0 IPS |
|
|
Object Detection (SP)
|
100% |
1091
86.5 IPS |
|
|
Object Detection (HP)
|
100% |
6960
552.1 IPS |
|
|
Object Detection (Q)
|
91% |
9927
793.2 IPS |
|
|
Face Detection (SP)
|
100% |
1793
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
17533
208.3 IPS |
|
|
Face Detection (Q)
|
100% |
24408
290.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3660
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
43491
335.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
70449
550.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10557
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
114350
147.0 IPS |
|
|
Style Transfer (Q)
|
96% |
153716
198.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2424
89.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23916
883.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36065
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
1384
1.85 KIPS |
|
|
Text Classification (HP)
|
99% |
2517
3.36 KIPS |
|
|
Text Classification (Q)
|
93% |
2512
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2070
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3881
66.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4215
72.8 IPS |
