iPhone18,1
Geekbench AI Score
5075
Single Precision Score
8284
Half Precision Score
6495
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 07:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2337
434.7 IPS |
|
|
Image Classification (HP)
|
100% |
3706
689.1 IPS |
|
|
Image Classification (Q)
|
96% |
2367
441.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3036
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3452
56.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10071
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18251
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15138
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2561
203.2 IPS |
|
|
Object Detection (HP)
|
97% |
4149
330.3 IPS |
|
|
Object Detection (Q)
|
94% |
2773
221.0 IPS |
|
|
Face Detection (SP)
|
100% |
4473
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
8113
96.4 IPS |
|
|
Face Detection (Q)
|
100% |
4274
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8050
62.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14018
108.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9972
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24320
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35942
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30871
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5446
201.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7057
260.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4884
180.4 IPS |
|
|
Text Classification (SP)
|
100% |
3526
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6555
8.75 KIPS |
|
|
Text Classification (Q)
|
93% |
6334
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5280
91.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9457
163.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9583
165.6 IPS |
