iPhone18,1
Geekbench AI Score
5025
Single Precision Score
8217
Half Precision Score
6431
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | halans |
| Upload Date | September 19 2025 03:51 AM |
| Views | 4 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2305
428.7 IPS |
|
|
Image Classification (HP)
|
100% |
3739
695.3 IPS |
|
|
Image Classification (Q)
|
96% |
2442
455.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2169
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3125
50.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3314
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9736
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17926
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15046
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2416
191.7 IPS |
|
|
Object Detection (HP)
|
97% |
3826
304.6 IPS |
|
|
Object Detection (Q)
|
94% |
2651
211.3 IPS |
|
|
Face Detection (SP)
|
100% |
4327
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
7981
94.8 IPS |
|
|
Face Detection (Q)
|
100% |
4148
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8300
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13868
107.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9645
75.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24018
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37390
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30762
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5535
204.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6964
257.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5026
185.6 IPS |
|
|
Text Classification (SP)
|
100% |
3506
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6428
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6404
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5221
89.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9460
163.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9466
163.6 IPS |
