iPhone18,1
Geekbench AI Score
9138
Single Precision Score
16558
Half Precision Score
17108
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | heyitsadi |
| Upload Date | October 07 2025 02:14 AM |
| Views | 7 |
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% |
4303
800.3 IPS |
|
|
Image Classification (HP)
|
100% |
7993
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7431
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6082
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9547
154.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10556
171.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20350
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53973
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
58860
69.0 IPS |
|
|
Object Detection (SP)
|
100% |
4403
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8072
640.2 IPS |
|
|
Object Detection (Q)
|
93% |
8057
642.8 IPS |
|
|
Face Detection (SP)
|
100% |
11866
141.0 IPS |
|
|
Face Detection (HP)
|
100% |
23069
274.1 IPS |
|
|
Face Detection (Q)
|
100% |
17973
213.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18079
139.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35562
274.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
38904
303.8 IPS |
|
|
Style Transfer (SP)
|
100% |
43952
56.5 IPS |
|
|
Style Transfer (HP)
|
100% |
95696
123.0 IPS |
|
|
Style Transfer (Q)
|
96% |
120080
155.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10435
385.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19412
716.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22575
833.6 IPS |
|
|
Text Classification (SP)
|
100% |
3522
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6427
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6397
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4999
86.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4758
82.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4762
82.3 IPS |
