iPhone18,1
Geekbench AI Score
4998
Single Precision Score
8205
Half Precision Score
6441
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | MagicalWig34653 |
| Upload Date | September 20 2025 05:23 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| 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 | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2315
430.5 IPS |
|
|
Image Classification (HP)
|
100% |
3679
684.2 IPS |
|
|
Image Classification (Q)
|
96% |
2442
456.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2092
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2984
48.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3393
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9729
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17937
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15673
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2495
197.9 IPS |
|
|
Object Detection (HP)
|
97% |
4073
324.3 IPS |
|
|
Object Detection (Q)
|
94% |
2695
214.8 IPS |
|
|
Face Detection (SP)
|
100% |
4338
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
8192
97.3 IPS |
|
|
Face Detection (Q)
|
100% |
4134
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8246
63.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13709
106.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9592
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24016
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37140
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30193
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5310
196.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6897
254.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4922
181.8 IPS |
|
|
Text Classification (SP)
|
100% |
3524
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6437
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6406
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5153
88.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9315
161.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9312
160.9 IPS |
