iPhone18,1
Geekbench AI Score
5062
Single Precision Score
8303
Half Precision Score
6527
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 21 2025 07:52 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2331
433.5 IPS |
|
|
Image Classification (HP)
|
100% |
3759
699.1 IPS |
|
|
Image Classification (Q)
|
96% |
2493
465.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2087
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2982
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3421
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10325
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19027
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15800
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2609
206.9 IPS |
|
|
Object Detection (HP)
|
97% |
4144
329.9 IPS |
|
|
Object Detection (Q)
|
94% |
2811
224.0 IPS |
|
|
Face Detection (SP)
|
100% |
4425
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
8338
99.1 IPS |
|
|
Face Detection (Q)
|
100% |
4282
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8224
63.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14147
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9784
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24153
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37975
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31288
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5450
201.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6833
252.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4899
180.9 IPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
99% |
6199
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6190
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
5147
88.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9293
160.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9327
161.2 IPS |
