iPhone18,1
Geekbench AI Score
5144
Single Precision Score
8417
Half Precision Score
6659
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 05:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2341
435.3 IPS |
|
|
Image Classification (HP)
|
100% |
3786
704.1 IPS |
|
|
Image Classification (Q)
|
96% |
2514
469.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2102
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2981
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3352
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10413
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19460
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16564
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2659
210.9 IPS |
|
|
Object Detection (HP)
|
97% |
4252
338.5 IPS |
|
|
Object Detection (Q)
|
94% |
2880
229.5 IPS |
|
|
Face Detection (SP)
|
100% |
4599
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
8566
101.8 IPS |
|
|
Face Detection (Q)
|
100% |
4483
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8540
65.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14358
111.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10170
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24941
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39008
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
32043
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5553
205.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6983
257.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5013
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
3296
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6126
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6122
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
5315
91.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9316
161.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9522
164.6 IPS |
