iPhone18,1
Geekbench AI Score
9102
Single Precision Score
16600
Half Precision Score
17177
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | September 30 2025 02:10 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
4318
803.1 IPS |
|
|
Image Classification (HP)
|
100% |
8042
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7485
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6092
98.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9609
155.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10565
171.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20507
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54282
63.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
59355
69.6 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8078
640.8 IPS |
|
|
Object Detection (Q)
|
93% |
8094
645.7 IPS |
|
|
Face Detection (SP)
|
100% |
11772
139.9 IPS |
|
|
Face Detection (HP)
|
100% |
23101
274.5 IPS |
|
|
Face Detection (Q)
|
100% |
17968
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18077
139.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35691
275.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
39129
305.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43793
56.3 IPS |
|
|
Style Transfer (HP)
|
100% |
96307
123.8 IPS |
|
|
Style Transfer (Q)
|
96% |
120149
155.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10431
385.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18993
701.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22783
841.3 IPS |
|
|
Text Classification (SP)
|
100% |
3433
4.58 KIPS |
|
|
Text Classification (HP)
|
99% |
6593
8.80 KIPS |
|
|
Text Classification (Q)
|
93% |
6580
8.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4924
84.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4718
81.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4649
80.3 IPS |
