iPhone18,2
Geekbench AI Score
9071
Single Precision Score
16806
Half Precision Score
17445
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 04:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4300
799.7 IPS |
|
|
Image Classification (HP)
|
100% |
8050
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7498
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6067
98.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9563
155.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10498
170.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20229
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53815
62.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
58458
68.5 IPS |
|
|
Object Detection (SP)
|
100% |
4406
349.5 IPS |
|
|
Object Detection (HP)
|
100% |
8123
644.3 IPS |
|
|
Object Detection (Q)
|
93% |
8077
644.4 IPS |
|
|
Face Detection (SP)
|
100% |
11745
139.6 IPS |
|
|
Face Detection (HP)
|
100% |
23132
274.9 IPS |
|
|
Face Detection (Q)
|
100% |
17963
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17958
138.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35514
273.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
38637
301.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43289
55.6 IPS |
|
|
Style Transfer (HP)
|
100% |
93936
120.8 IPS |
|
|
Style Transfer (Q)
|
96% |
119174
153.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10407
384.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18480
682.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22285
822.9 IPS |
|
|
Text Classification (SP)
|
100% |
3520
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6372
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6385
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4854
83.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5879
101.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5968
103.1 IPS |
