iPhone18,2
Geekbench AI Score
9019
Single Precision Score
16737
Half Precision Score
17345
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 11:34 PM |
| 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% |
4226
785.8 IPS |
|
|
Image Classification (HP)
|
100% |
8033
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7421
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6023
97.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9456
153.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10481
169.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20185
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53294
62.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
58092
68.1 IPS |
|
|
Object Detection (SP)
|
100% |
4393
348.5 IPS |
|
|
Object Detection (HP)
|
100% |
8099
642.5 IPS |
|
|
Object Detection (Q)
|
93% |
8056
642.7 IPS |
|
|
Face Detection (SP)
|
100% |
11647
138.4 IPS |
|
|
Face Detection (HP)
|
100% |
23133
274.9 IPS |
|
|
Face Detection (Q)
|
100% |
17962
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17889
137.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
34841
268.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
38210
298.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43122
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
95736
123.1 IPS |
|
|
Style Transfer (Q)
|
96% |
119180
153.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10399
384.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18201
672.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22259
821.9 IPS |
|
|
Text Classification (SP)
|
100% |
3518
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6422
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6403
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4803
82.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5835
100.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5811
100.4 IPS |
