iPhone18,2
Geekbench AI Score
5069
Single Precision Score
8281
Half Precision Score
6537
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 20 2025 10:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2334
434.1 IPS |
|
|
Image Classification (HP)
|
100% |
3710
689.9 IPS |
|
|
Image Classification (Q)
|
96% |
2486
464.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2999
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3437
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10317
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18600
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15648
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2537
201.2 IPS |
|
|
Object Detection (HP)
|
97% |
4154
330.7 IPS |
|
|
Object Detection (Q)
|
94% |
2779
221.5 IPS |
|
|
Face Detection (SP)
|
100% |
4443
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
8300
98.6 IPS |
|
|
Face Detection (Q)
|
100% |
4244
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8387
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13865
107.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9879
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24112
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37275
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30629
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5313
196.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6785
250.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4913
181.4 IPS |
|
|
Text Classification (SP)
|
100% |
3492
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6414
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6400
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5223
90.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9458
163.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9510
164.3 IPS |
