iPhone18,2
Geekbench AI Score
9049
Single Precision Score
16456
Half Precision Score
17032
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 08:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.15 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4247
789.8 IPS |
|
|
Image Classification (HP)
|
100% |
8089
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7699
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5956
96.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9444
153.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10490
170.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20062
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53215
62.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
57925
67.9 IPS |
|
|
Object Detection (SP)
|
100% |
4351
345.1 IPS |
|
|
Object Detection (HP)
|
100% |
8061
639.4 IPS |
|
|
Object Detection (Q)
|
93% |
7981
636.7 IPS |
|
|
Face Detection (SP)
|
100% |
11449
136.0 IPS |
|
|
Face Detection (HP)
|
100% |
22809
271.0 IPS |
|
|
Face Detection (Q)
|
100% |
17495
207.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17769
136.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
34757
267.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
37823
295.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43381
55.8 IPS |
|
|
Style Transfer (HP)
|
100% |
93547
120.3 IPS |
|
|
Style Transfer (Q)
|
96% |
119219
153.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10399
384.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18508
683.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22147
817.8 IPS |
|
|
Text Classification (SP)
|
100% |
3618
4.83 KIPS |
|
|
Text Classification (HP)
|
99% |
6708
8.95 KIPS |
|
|
Text Classification (Q)
|
93% |
6548
8.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
5025
86.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4828
83.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4810
83.1 IPS |
