iPhone18,2
Geekbench AI Score
5212
Single Precision Score
36109
Half Precision Score
48457
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KorTECK |
| Upload Date | October 28 2025 08:18 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2326
432.6 IPS |
|
|
Image Classification (HP)
|
100% |
16074
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
20900
3.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20089
325.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25666
416.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10971
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
160475
187.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
298032
349.3 IPS |
|
|
Object Detection (SP)
|
100% |
2706
214.6 IPS |
|
|
Object Detection (HP)
|
100% |
17377
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25023
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4729
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
40512
481.4 IPS |
|
|
Face Detection (Q)
|
100% |
49138
583.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8467
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
104390
804.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
166277
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
25058
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
260511
334.9 IPS |
|
|
Style Transfer (Q)
|
96% |
349335
450.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5808
214.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55391
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84708
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3255
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6271
8.37 KIPS |
|
|
Text Classification (Q)
|
93% |
6189
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
5249
90.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10938
188.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11925
206.1 IPS |
