iPhone18,2
Geekbench AI Score
9098
Single Precision Score
16550
Half Precision Score
17005
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 03:07 AM |
| Views | 1 |
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% |
4266
793.3 IPS |
|
|
Image Classification (HP)
|
100% |
8022
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7420
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6045
98.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9503
154.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10586
171.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20156
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53601
62.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
58220
68.2 IPS |
|
|
Object Detection (SP)
|
100% |
4405
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8080
640.9 IPS |
|
|
Object Detection (Q)
|
93% |
8048
642.1 IPS |
|
|
Face Detection (SP)
|
100% |
11641
138.3 IPS |
|
|
Face Detection (HP)
|
100% |
23086
274.3 IPS |
|
|
Face Detection (Q)
|
100% |
17953
213.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17896
137.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35492
273.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
38219
298.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43127
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
94027
120.9 IPS |
|
|
Style Transfer (Q)
|
96% |
119471
154.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10395
383.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19490
719.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22091
815.7 IPS |
|
|
Text Classification (SP)
|
100% |
3490
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6440
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6313
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
5207
89.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4831
83.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4808
83.1 IPS |
