iPhone18,2
Geekbench AI Score
9075
Single Precision Score
16401
Half Precision Score
16939
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 07:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.14 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4270
794.1 IPS |
|
|
Image Classification (HP)
|
100% |
8098
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7556
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6073
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9544
154.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10473
169.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20287
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53943
62.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
58557
68.6 IPS |
|
|
Object Detection (SP)
|
100% |
4390
348.2 IPS |
|
|
Object Detection (HP)
|
100% |
8134
645.2 IPS |
|
|
Object Detection (Q)
|
93% |
8026
640.3 IPS |
|
|
Face Detection (SP)
|
100% |
11741
139.5 IPS |
|
|
Face Detection (HP)
|
100% |
23111
274.6 IPS |
|
|
Face Detection (Q)
|
100% |
17965
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18020
138.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35555
273.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
38659
301.8 IPS |
|
|
Style Transfer (SP)
|
100% |
43500
55.9 IPS |
|
|
Style Transfer (HP)
|
100% |
94486
121.5 IPS |
|
|
Style Transfer (Q)
|
96% |
119024
153.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10402
384.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18641
688.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21361
788.8 IPS |
|
|
Text Classification (SP)
|
100% |
3573
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6164
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6234
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4799
82.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4658
80.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4752
82.1 IPS |
