iPhone18,2
Geekbench AI Score
5107
Single Precision Score
8320
Half Precision Score
6605
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | riotryan |
| Upload Date | October 31 2025 12:41 PM |
| Views | 2 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2323
432.0 IPS |
|
|
Image Classification (HP)
|
100% |
3720
691.8 IPS |
|
|
Image Classification (Q)
|
96% |
2478
462.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2984
48.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3405
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10858
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19137
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16251
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2641
209.5 IPS |
|
|
Object Detection (HP)
|
97% |
4144
329.9 IPS |
|
|
Object Detection (Q)
|
94% |
2882
229.7 IPS |
|
|
Face Detection (SP)
|
100% |
4671
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
8511
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4543
54.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8293
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14103
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10031
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24218
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37133
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30788
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5519
203.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6890
254.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4927
181.9 IPS |
|
|
Text Classification (SP)
|
100% |
3271
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6039
8.06 KIPS |
|
|
Text Classification (Q)
|
93% |
6094
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
5068
87.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9739
168.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9499
164.2 IPS |
