iPhone18,2
Geekbench AI Score
8973
Single Precision Score
16702
Half Precision Score
17261
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 06:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| 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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4253
790.9 IPS |
|
|
Image Classification (HP)
|
100% |
8120
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7523
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5949
96.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9424
152.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10435
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20007
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
53018
61.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
57251
67.1 IPS |
|
|
Object Detection (SP)
|
100% |
4339
344.1 IPS |
|
|
Object Detection (HP)
|
100% |
8124
644.4 IPS |
|
|
Object Detection (Q)
|
93% |
8048
642.0 IPS |
|
|
Face Detection (SP)
|
100% |
11529
137.0 IPS |
|
|
Face Detection (HP)
|
100% |
22571
268.2 IPS |
|
|
Face Detection (Q)
|
100% |
17787
211.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17689
136.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
34655
267.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
37861
295.6 IPS |
|
|
Style Transfer (SP)
|
100% |
43095
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
93353
120.0 IPS |
|
|
Style Transfer (Q)
|
96% |
117872
152.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10357
382.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18161
670.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21841
806.5 IPS |
|
|
Text Classification (SP)
|
100% |
3512
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6659
8.89 KIPS |
|
|
Text Classification (Q)
|
93% |
6401
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4821
83.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5806
100.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5851
101.1 IPS |
