iPhone18,2
Geekbench AI Score
5054
Single Precision Score
8324
Half Precision Score
6565
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Oleksandr |
| Upload Date | December 10 2025 04:33 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2324
432.2 IPS |
|
|
Image Classification (HP)
|
100% |
3726
692.9 IPS |
|
|
Image Classification (Q)
|
96% |
2485
464.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2092
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3026
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3398
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10305
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18283
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15899
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2522
200.1 IPS |
|
|
Object Detection (HP)
|
97% |
4137
329.4 IPS |
|
|
Object Detection (Q)
|
94% |
2843
226.6 IPS |
|
|
Face Detection (SP)
|
100% |
4582
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
8492
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
4407
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8323
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14065
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10037
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24506
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37631
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31152
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5404
199.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6962
257.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4952
182.8 IPS |
|
|
Text Classification (SP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
6147
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6010
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
5268
90.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9740
168.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9505
164.3 IPS |
