iPhone18,2
Geekbench AI Score
9049
Single Precision Score
16789
Half Precision Score
17503
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 03:09 PM |
| Views | 1 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4271
794.2 IPS |
|
|
Image Classification (HP)
|
100% |
8062
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7569
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6081
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9453
153.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10520
170.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20204
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
52945
61.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
57604
67.5 IPS |
|
|
Object Detection (SP)
|
100% |
4239
336.2 IPS |
|
|
Object Detection (HP)
|
100% |
8102
642.6 IPS |
|
|
Object Detection (Q)
|
93% |
8120
647.8 IPS |
|
|
Face Detection (SP)
|
100% |
11703
139.1 IPS |
|
|
Face Detection (HP)
|
100% |
23132
274.9 IPS |
|
|
Face Detection (Q)
|
100% |
17962
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17864
137.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
34969
269.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
38720
302.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43411
55.8 IPS |
|
|
Style Transfer (HP)
|
100% |
95358
122.6 IPS |
|
|
Style Transfer (Q)
|
96% |
120384
155.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10437
385.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18825
695.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22644
836.1 IPS |
|
|
Text Classification (SP)
|
100% |
3545
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6379
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6358
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4931
84.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5879
101.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6012
103.9 IPS |
