iPhone18,1
Geekbench AI Score
9035
Single Precision Score
16352
Half Precision Score
16953
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 06:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4260
792.2 IPS |
|
|
Image Classification (HP)
|
100% |
8061
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7462
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6079
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9524
154.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10562
171.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20199
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53416
62.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
57978
68.0 IPS |
|
|
Object Detection (SP)
|
100% |
4403
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
8106
643.0 IPS |
|
|
Object Detection (Q)
|
93% |
8049
642.1 IPS |
|
|
Face Detection (SP)
|
100% |
11752
139.6 IPS |
|
|
Face Detection (HP)
|
100% |
23112
274.6 IPS |
|
|
Face Detection (Q)
|
100% |
17961
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17932
138.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35468
273.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
38382
299.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43465
55.9 IPS |
|
|
Style Transfer (HP)
|
100% |
94580
121.6 IPS |
|
|
Style Transfer (Q)
|
96% |
119650
154.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10412
384.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18536
684.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22268
822.2 IPS |
|
|
Text Classification (SP)
|
100% |
3230
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
6094
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6075
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5110
88.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4697
80.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4779
82.6 IPS |
