iPhone18,2
Geekbench AI Score
5101
Single Precision Score
36001
Half Precision Score
49140
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | TheSub |
| Upload Date | December 20 2025 02:30 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2359
438.7 IPS |
|
|
Image Classification (HP)
|
100% |
16200
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
22951
4.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19910
322.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25489
413.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10116
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
158548
185.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
294748
345.5 IPS |
|
|
Object Detection (SP)
|
100% |
2609
206.9 IPS |
|
|
Object Detection (HP)
|
100% |
17314
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25614
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4601
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
41068
488.0 IPS |
|
|
Face Detection (Q)
|
100% |
50945
605.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8499
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
105229
810.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
166003
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
23823
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
256844
330.2 IPS |
|
|
Style Transfer (Q)
|
96% |
350369
452.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5647
208.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57589
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84435
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3268
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5936
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
6026
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
5255
90.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10888
187.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12331
213.1 IPS |
