iPhone18,1
Geekbench AI Score
8476
Single Precision Score
15519
Half Precision Score
16341
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 05 2025 06:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
4035
750.5 IPS |
|
|
Image Classification (HP)
|
100% |
7908
1.47 KIPS |
|
|
Image Classification (Q)
|
97% |
7449
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6055
98.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9524
154.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10534
170.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20200
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53790
62.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
58460
68.5 IPS |
|
|
Object Detection (SP)
|
100% |
4320
342.7 IPS |
|
|
Object Detection (HP)
|
100% |
8280
656.7 IPS |
|
|
Object Detection (Q)
|
93% |
8023
640.1 IPS |
|
|
Face Detection (SP)
|
100% |
11573
137.5 IPS |
|
|
Face Detection (HP)
|
100% |
19126
227.3 IPS |
|
|
Face Detection (Q)
|
100% |
17842
212.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13853
106.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
30081
231.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
31907
249.1 IPS |
|
|
Style Transfer (SP)
|
100% |
38087
49.0 IPS |
|
|
Style Transfer (HP)
|
100% |
77372
99.5 IPS |
|
|
Style Transfer (Q)
|
96% |
99644
128.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8949
330.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19219
709.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20841
769.6 IPS |
|
|
Text Classification (SP)
|
100% |
3571
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6100
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6112
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4604
79.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4629
79.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5107
88.3 IPS |
