iPhone18,2
Geekbench AI Score
8999
Single Precision Score
16682
Half Precision Score
17318
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | TheSub |
| Upload Date | December 26 2025 04:28 PM |
| Views | 9 |
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% |
4256
791.5 IPS |
|
|
Image Classification (HP)
|
100% |
7928
1.47 KIPS |
|
|
Image Classification (Q)
|
97% |
7363
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6038
97.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9491
153.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10526
170.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20271
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53588
62.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
58530
68.6 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8085
641.3 IPS |
|
|
Object Detection (Q)
|
93% |
8038
641.2 IPS |
|
|
Face Detection (SP)
|
100% |
11853
140.8 IPS |
|
|
Face Detection (HP)
|
100% |
23131
274.9 IPS |
|
|
Face Detection (Q)
|
100% |
18298
217.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17837
137.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35529
273.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
37836
295.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43416
55.8 IPS |
|
|
Style Transfer (HP)
|
100% |
94483
121.5 IPS |
|
|
Style Transfer (Q)
|
96% |
119500
154.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10395
383.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18249
673.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22293
823.2 IPS |
|
|
Text Classification (SP)
|
100% |
3263
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
6073
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6057
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
4877
84.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5951
102.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5960
103.0 IPS |
