iPhone18,2
Geekbench AI Score
5210
Single Precision Score
36262
Half Precision Score
48825
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KorTECK |
| Upload Date | December 15 2025 06:58 PM |
| Views | 7 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2330
433.3 IPS |
|
|
Image Classification (HP)
|
100% |
16162
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
20737
3.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19942
323.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25339
410.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11182
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
160672
187.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
298048
349.3 IPS |
|
|
Object Detection (SP)
|
100% |
2697
213.9 IPS |
|
|
Object Detection (HP)
|
100% |
17853
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25359
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4726
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
41018
487.4 IPS |
|
|
Face Detection (Q)
|
100% |
53672
637.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8464
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
104412
804.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
167794
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24979
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
260517
334.9 IPS |
|
|
Style Transfer (Q)
|
96% |
349226
450.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5801
214.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56964
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84485
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6216
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6169
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
5245
90.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10765
185.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11827
204.4 IPS |
