iPhone18,2
Geekbench AI Score
5234
Single Precision Score
36056
Half Precision Score
49223
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KorTECK |
| Upload Date | October 28 2025 08:03 AM |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2329
433.1 IPS |
|
|
Image Classification (HP)
|
100% |
16024
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
21731
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2155
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20093
325.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25698
416.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11206
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
160493
187.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
298582
350.0 IPS |
|
|
Object Detection (SP)
|
100% |
2697
214.0 IPS |
|
|
Object Detection (HP)
|
100% |
17327
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25260
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4729
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
40391
479.9 IPS |
|
|
Face Detection (Q)
|
100% |
50113
595.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8495
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
104300
803.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
170218
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
24878
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
259922
334.1 IPS |
|
|
Style Transfer (Q)
|
96% |
349972
451.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5922
218.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56796
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85696
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3244
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
6075
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6413
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5306
91.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10980
189.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12085
208.8 IPS |
