iPhone18,2
Geekbench AI Score
9022
Single Precision Score
16264
Half Precision Score
16863
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 06:53 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 | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4185
778.3 IPS |
|
|
Image Classification (HP)
|
100% |
8070
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7377
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5945
96.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9450
153.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10421
168.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
19988
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
53065
61.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
57166
67.0 IPS |
|
|
Object Detection (SP)
|
100% |
4388
348.1 IPS |
|
|
Object Detection (HP)
|
100% |
8079
640.8 IPS |
|
|
Object Detection (Q)
|
93% |
8040
641.4 IPS |
|
|
Face Detection (SP)
|
100% |
11553
137.3 IPS |
|
|
Face Detection (HP)
|
100% |
22662
269.3 IPS |
|
|
Face Detection (Q)
|
100% |
17878
212.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17569
135.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
34992
269.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
37921
296.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43120
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
93327
120.0 IPS |
|
|
Style Transfer (Q)
|
96% |
117785
152.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10396
383.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17901
661.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22107
816.3 IPS |
|
|
Text Classification (SP)
|
100% |
3530
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6388
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6351
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5101
87.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4681
80.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4694
81.1 IPS |
