iPhone18,2
Geekbench AI Score
2150
Single Precision Score
14847
Half Precision Score
20650
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Xabla |
| Upload Date | October 26 2025 12:45 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 1.61 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
926
172.2 IPS |
|
|
Image Classification (HP)
|
100% |
7461
1.39 KIPS |
|
|
Image Classification (Q)
|
97% |
10415
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
953
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8816
142.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11749
190.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4413
5.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
61749
72.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
120011
140.7 IPS |
|
|
Object Detection (SP)
|
100% |
1095
86.9 IPS |
|
|
Object Detection (HP)
|
100% |
7015
556.5 IPS |
|
|
Object Detection (Q)
|
91% |
9533
761.7 IPS |
|
|
Face Detection (SP)
|
100% |
1828
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
17422
207.0 IPS |
|
|
Face Detection (Q)
|
100% |
24546
291.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3677
28.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
40764
314.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
73280
572.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10502
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
114783
147.6 IPS |
|
|
Style Transfer (Q)
|
96% |
152196
196.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2378
87.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23580
870.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35660
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
1388
1.85 KIPS |
|
|
Text Classification (HP)
|
99% |
2489
3.32 KIPS |
|
|
Text Classification (Q)
|
93% |
2472
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2132
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3820
65.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4174
72.1 IPS |
