iPhone18,2
Geekbench AI Score
5216
Single Precision Score
8511
Half Precision Score
6745
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 10:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2337
434.6 IPS |
|
|
Image Classification (HP)
|
100% |
3769
701.0 IPS |
|
|
Image Classification (Q)
|
96% |
2509
468.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3029
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3444
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10928
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20218
23.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
17064
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
2690
213.3 IPS |
|
|
Object Detection (HP)
|
97% |
4245
337.9 IPS |
|
|
Object Detection (Q)
|
94% |
2927
233.3 IPS |
|
|
Face Detection (SP)
|
100% |
4691
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
8503
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
4563
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8605
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14559
112.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10258
80.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25386
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39418
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32591
42.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5705
210.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7035
259.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5047
186.3 IPS |
|
|
Text Classification (SP)
|
100% |
3256
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
6271
8.37 KIPS |
|
|
Text Classification (Q)
|
93% |
6194
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
5314
91.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9463
163.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9476
163.8 IPS |
