iPhone18,2
Geekbench AI Score
9111
Single Precision Score
16493
Half Precision Score
17033
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 01 2025 07:26 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4265
793.2 IPS |
|
|
Image Classification (HP)
|
100% |
8020
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7481
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6052
98.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9536
154.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10482
169.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20271
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53891
62.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
58764
68.9 IPS |
|
|
Object Detection (SP)
|
100% |
4403
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
8074
640.4 IPS |
|
|
Object Detection (Q)
|
93% |
8045
641.8 IPS |
|
|
Face Detection (SP)
|
100% |
11643
138.3 IPS |
|
|
Face Detection (HP)
|
100% |
23053
273.9 IPS |
|
|
Face Detection (Q)
|
100% |
17760
211.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17939
138.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35393
272.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
38065
297.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43443
55.8 IPS |
|
|
Style Transfer (HP)
|
100% |
95764
123.1 IPS |
|
|
Style Transfer (Q)
|
96% |
119417
154.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10406
384.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18435
680.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22388
826.7 IPS |
|
|
Text Classification (SP)
|
100% |
3514
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6435
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6405
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5162
88.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4830
83.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4791
82.8 IPS |
