iPhone18,2
Geekbench AI Score
5200
Single Precision Score
8403
Half Precision Score
6718
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 02:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2336
434.3 IPS |
|
|
Image Classification (HP)
|
100% |
3769
701.0 IPS |
|
|
Image Classification (Q)
|
96% |
2515
469.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3035
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3435
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11044
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19569
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16725
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2693
213.6 IPS |
|
|
Object Detection (HP)
|
97% |
4247
338.1 IPS |
|
|
Object Detection (Q)
|
94% |
2933
233.8 IPS |
|
|
Face Detection (SP)
|
100% |
4688
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
8424
100.1 IPS |
|
|
Face Detection (Q)
|
100% |
4559
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8590
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14425
111.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10262
80.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24841
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38875
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31914
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5520
203.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6973
257.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5009
185.0 IPS |
|
|
Text Classification (SP)
|
100% |
3351
4.47 KIPS |
|
|
Text Classification (HP)
|
99% |
5973
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
6171
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
5290
91.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9393
162.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9579
165.5 IPS |
