iPhone18,2
Geekbench AI Score
9099
Single Precision Score
16984
Half Precision Score
17601
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 22 2025 07:34 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% |
4278
795.6 IPS |
|
|
Image Classification (HP)
|
100% |
8045
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7458
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6091
98.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9555
154.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10557
171.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20230
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
54018
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59363
69.6 IPS |
|
|
Object Detection (SP)
|
100% |
4408
349.7 IPS |
|
|
Object Detection (HP)
|
100% |
8078
640.7 IPS |
|
|
Object Detection (Q)
|
93% |
8152
650.3 IPS |
|
|
Face Detection (SP)
|
100% |
11827
140.5 IPS |
|
|
Face Detection (HP)
|
100% |
23381
277.8 IPS |
|
|
Face Detection (Q)
|
100% |
18024
214.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18065
139.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35546
273.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
39076
305.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43797
56.3 IPS |
|
|
Style Transfer (HP)
|
100% |
95675
123.0 IPS |
|
|
Style Transfer (Q)
|
96% |
120432
155.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10435
385.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19240
710.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22487
830.3 IPS |
|
|
Text Classification (SP)
|
100% |
3455
4.61 KIPS |
|
|
Text Classification (HP)
|
99% |
6436
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6449
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4967
85.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6050
104.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6091
105.3 IPS |
