iPhone18,2
Geekbench AI Score
5105
Single Precision Score
8259
Half Precision Score
6551
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | redgreen |
| Upload Date | October 15 2025 03:59 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2318
431.1 IPS |
|
|
Image Classification (HP)
|
100% |
3656
679.8 IPS |
|
|
Image Classification (Q)
|
96% |
2467
460.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3037
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3433
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10319
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18958
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16014
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2627
208.4 IPS |
|
|
Object Detection (HP)
|
97% |
4115
327.6 IPS |
|
|
Object Detection (Q)
|
94% |
2798
223.0 IPS |
|
|
Face Detection (SP)
|
100% |
4541
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
8384
99.6 IPS |
|
|
Face Detection (Q)
|
100% |
4389
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8334
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14067
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9954
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24377
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37287
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31105
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5377
198.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6880
254.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4859
179.4 IPS |
|
|
Text Classification (SP)
|
100% |
3537
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6046
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
6146
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
5223
90.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9327
161.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9462
163.5 IPS |
