iPhone18,2
Geekbench AI Score
5230
Single Precision Score
8488
Half Precision Score
6731
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 03 2025 02:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2348
436.6 IPS |
|
|
Image Classification (HP)
|
100% |
3816
709.6 IPS |
|
|
Image Classification (Q)
|
96% |
2505
467.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2210
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3023
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3435
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11173
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
20084
23.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17095
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
2674
212.1 IPS |
|
|
Object Detection (HP)
|
97% |
4277
340.5 IPS |
|
|
Object Detection (Q)
|
94% |
2933
233.7 IPS |
|
|
Face Detection (SP)
|
100% |
4691
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
8598
102.2 IPS |
|
|
Face Detection (Q)
|
100% |
4593
54.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8562
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14474
111.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10274
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24997
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39314
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32470
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5717
211.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6932
256.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5012
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
3280
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6073
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6130
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
5253
90.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9517
164.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9403
162.5 IPS |
