iPhone18,2
Geekbench AI Score
5136
Single Precision Score
8317
Half Precision Score
6586
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Superduck |
| Upload Date | October 19 2025 06:27 AM |
| Views | 11 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2334
434.0 IPS |
|
|
Image Classification (HP)
|
100% |
3698
687.8 IPS |
|
|
Image Classification (Q)
|
96% |
2466
460.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3001
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3431
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10876
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19265
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16598
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2673
212.1 IPS |
|
|
Object Detection (HP)
|
97% |
4162
331.4 IPS |
|
|
Object Detection (Q)
|
94% |
2870
228.7 IPS |
|
|
Face Detection (SP)
|
100% |
4616
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
8480
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
4443
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8364
64.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14222
109.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10015
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24568
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37635
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31190
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5550
204.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6945
256.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4862
179.5 IPS |
|
|
Text Classification (SP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6050
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
6060
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5156
88.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9333
161.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9318
161.0 IPS |
