iPhone18,2
Geekbench AI Score
9101
Single Precision Score
16911
Half Precision Score
17555
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | zedkiel |
| Upload Date | October 31 2025 07:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4228
786.3 IPS |
|
|
Image Classification (HP)
|
100% |
8095
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7575
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6097
98.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9573
155.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10508
170.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20320
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53981
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59441
69.7 IPS |
|
|
Object Detection (SP)
|
100% |
4401
349.1 IPS |
|
|
Object Detection (HP)
|
100% |
8078
640.8 IPS |
|
|
Object Detection (Q)
|
93% |
8078
644.5 IPS |
|
|
Face Detection (SP)
|
100% |
11720
139.3 IPS |
|
|
Face Detection (HP)
|
100% |
23148
275.1 IPS |
|
|
Face Detection (Q)
|
100% |
17965
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17978
138.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35299
272.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
38948
304.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43839
56.4 IPS |
|
|
Style Transfer (HP)
|
100% |
96650
124.2 IPS |
|
|
Style Transfer (Q)
|
96% |
119708
154.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10432
385.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19121
706.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22563
833.1 IPS |
|
|
Text Classification (SP)
|
100% |
3521
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6390
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6375
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4989
85.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5870
101.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6037
104.3 IPS |
