iPhone18,2
Geekbench AI Score
5057
Single Precision Score
8273
Half Precision Score
6471
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Outrun9430 |
| Upload Date | October 05 2025 04:31 AM |
| Views | 7 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2314
430.3 IPS |
|
|
Image Classification (HP)
|
100% |
3678
683.9 IPS |
|
|
Image Classification (Q)
|
96% |
2475
462.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2993
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3374
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9878
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18660
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15663
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2519
199.8 IPS |
|
|
Object Detection (HP)
|
97% |
4060
323.2 IPS |
|
|
Object Detection (Q)
|
94% |
2700
215.2 IPS |
|
|
Face Detection (SP)
|
100% |
4428
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
8192
97.3 IPS |
|
|
Face Detection (Q)
|
100% |
4158
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8312
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13856
107.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9807
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24174
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37656
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30705
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5405
199.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6890
254.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4960
183.1 IPS |
|
|
Text Classification (SP)
|
100% |
3536
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6496
8.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6345
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5276
90.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9417
162.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9259
160.0 IPS |
