iPhone18,2
Geekbench AI Score
5195
Single Precision Score
36727
Half Precision Score
49022
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KorTECK |
| Upload Date | November 25 2025 09:15 PM |
| Views | 2 |
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% |
2327
432.7 IPS |
|
|
Image Classification (HP)
|
100% |
16147
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
21575
4.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20120
326.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25679
416.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11209
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
160656
187.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
298882
350.3 IPS |
|
|
Object Detection (SP)
|
100% |
2643
209.6 IPS |
|
|
Object Detection (HP)
|
100% |
17694
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25520
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4700
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
41561
493.8 IPS |
|
|
Face Detection (Q)
|
100% |
50230
596.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8417
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
104425
804.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
165050
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24723
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
260158
334.4 IPS |
|
|
Style Transfer (Q)
|
96% |
350434
452.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5762
212.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
59095
2.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86296
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3275
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6477
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6254
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
5229
90.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11190
192.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12098
209.1 IPS |
