iPhone18,2
Geekbench AI Score
9073
Single Precision Score
16909
Half Precision Score
17491
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 20 2025 10:59 AM |
| Views | 2 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4309
801.3 IPS |
|
|
Image Classification (HP)
|
100% |
7959
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7459
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6080
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9571
155.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10568
171.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20171
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53469
62.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
58715
68.8 IPS |
|
|
Object Detection (SP)
|
100% |
4405
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8079
640.9 IPS |
|
|
Object Detection (Q)
|
93% |
8114
647.3 IPS |
|
|
Face Detection (SP)
|
100% |
11741
139.5 IPS |
|
|
Face Detection (HP)
|
100% |
23115
274.7 IPS |
|
|
Face Detection (Q)
|
100% |
17966
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17974
138.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35502
273.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
38836
303.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43286
55.6 IPS |
|
|
Style Transfer (HP)
|
100% |
95294
122.5 IPS |
|
|
Style Transfer (Q)
|
96% |
119669
154.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10401
384.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19244
710.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22408
827.4 IPS |
|
|
Text Classification (SP)
|
100% |
3415
4.56 KIPS |
|
|
Text Classification (HP)
|
99% |
6462
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6349
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5008
86.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5972
102.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6009
103.8 IPS |
