iPhone18,2
Geekbench AI Score
5182
Single Precision Score
8398
Half Precision Score
6630
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Swanne |
| Upload Date | September 28 2025 03:47 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2342
435.5 IPS |
|
|
Image Classification (HP)
|
100% |
3760
699.3 IPS |
|
|
Image Classification (Q)
|
96% |
2482
463.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3111
50.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3449
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10710
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19361
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16438
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2633
208.9 IPS |
|
|
Object Detection (HP)
|
97% |
4177
332.5 IPS |
|
|
Object Detection (Q)
|
94% |
2873
229.0 IPS |
|
|
Face Detection (SP)
|
100% |
4581
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
8452
100.4 IPS |
|
|
Face Detection (Q)
|
100% |
4422
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8409
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14192
109.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10127
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24848
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38891
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31760
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5516
203.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6883
254.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5013
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
3599
4.80 KIPS |
|
|
Text Classification (HP)
|
99% |
6129
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6045
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5270
90.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9383
162.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9422
162.8 IPS |
