iPhone18,1
Geekbench AI Score
4950
Single Precision Score
8110
Half Precision Score
6353
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | bgh0809 |
| Upload Date | October 12 2025 05:47 PM |
| Views | 8 |
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 | 4.15 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2326
432.6 IPS |
|
|
Image Classification (HP)
|
100% |
3588
667.2 IPS |
|
|
Image Classification (Q)
|
96% |
2463
459.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2953
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3343
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9917
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18245
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15461
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2482
196.9 IPS |
|
|
Object Detection (HP)
|
97% |
3946
314.2 IPS |
|
|
Object Detection (Q)
|
94% |
2612
208.2 IPS |
|
|
Face Detection (SP)
|
100% |
4296
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7997
95.0 IPS |
|
|
Face Detection (Q)
|
100% |
4100
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8206
63.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13636
105.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9615
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23527
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36664
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29968
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5284
195.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6919
255.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4817
177.9 IPS |
|
|
Text Classification (SP)
|
100% |
3535
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6317
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6293
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4731
81.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9235
159.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9000
155.5 IPS |
