iPhone18,1
Geekbench AI Score
5034
Single Precision Score
8098
Half Precision Score
6418
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | 46fy45 |
| Upload Date | November 05 2025 03:00 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2289
425.7 IPS |
|
|
Image Classification (HP)
|
100% |
3671
682.7 IPS |
|
|
Image Classification (Q)
|
96% |
2436
454.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2141
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3100
50.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3360
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9804
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17827
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15402
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2502
198.5 IPS |
|
|
Object Detection (HP)
|
97% |
3981
317.0 IPS |
|
|
Object Detection (Q)
|
94% |
2641
210.5 IPS |
|
|
Face Detection (SP)
|
100% |
4373
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
8008
95.2 IPS |
|
|
Face Detection (Q)
|
100% |
4143
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8241
63.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13658
105.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9698
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23475
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37240
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30141
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5352
197.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6719
248.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4927
181.9 IPS |
|
|
Text Classification (SP)
|
100% |
3515
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6285
8.39 KIPS |
|
|
Text Classification (Q)
|
93% |
6285
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
5463
94.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8732
150.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9499
164.1 IPS |
