iPhone18,2
Geekbench AI Score
9040
Single Precision Score
16372
Half Precision Score
17014
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | redgreen |
| Upload Date | October 15 2025 03:55 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
4277
795.4 IPS |
|
|
Image Classification (HP)
|
100% |
8029
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7636
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6006
97.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9515
154.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10459
169.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20050
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53223
62.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
57708
67.6 IPS |
|
|
Object Detection (SP)
|
100% |
4399
348.9 IPS |
|
|
Object Detection (HP)
|
100% |
8140
645.7 IPS |
|
|
Object Detection (Q)
|
93% |
8036
641.1 IPS |
|
|
Face Detection (SP)
|
100% |
11634
138.2 IPS |
|
|
Face Detection (HP)
|
100% |
23030
273.6 IPS |
|
|
Face Detection (Q)
|
100% |
17768
211.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17816
137.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35343
272.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
37963
296.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43167
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
93762
120.5 IPS |
|
|
Style Transfer (Q)
|
96% |
118538
153.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10375
383.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18181
671.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22027
813.4 IPS |
|
|
Text Classification (SP)
|
100% |
3530
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6368
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6396
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4911
84.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4732
81.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4874
84.2 IPS |
