iPhone18,2
Geekbench AI Score
5012
Single Precision Score
8307
Half Precision Score
6454
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KennyO |
| Upload Date | December 01 2025 11:12 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2311
429.7 IPS |
|
|
Image Classification (HP)
|
100% |
3751
697.6 IPS |
|
|
Image Classification (Q)
|
96% |
2487
464.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2981
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3434
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9863
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18579
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15495
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2536
201.2 IPS |
|
|
Object Detection (HP)
|
97% |
4132
328.9 IPS |
|
|
Object Detection (Q)
|
94% |
2752
219.4 IPS |
|
|
Face Detection (SP)
|
100% |
3973
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
7847
93.2 IPS |
|
|
Face Detection (Q)
|
100% |
4180
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8294
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14259
110.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9741
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24283
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37742
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30984
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5558
205.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6983
257.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5032
185.8 IPS |
|
|
Text Classification (SP)
|
100% |
3525
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6613
8.83 KIPS |
|
|
Text Classification (Q)
|
93% |
6466
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5232
90.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9352
161.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8400
145.2 IPS |
