iPhone18,1
Geekbench AI Score
5175
Single Precision Score
8384
Half Precision Score
6642
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 07:41 PM |
| Views | 3 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2333
433.9 IPS |
|
|
Image Classification (HP)
|
100% |
3739
695.4 IPS |
|
|
Image Classification (Q)
|
96% |
2471
461.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2131
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3030
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3423
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10690
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19797
23.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16939
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2646
209.9 IPS |
|
|
Object Detection (HP)
|
97% |
4177
332.5 IPS |
|
|
Object Detection (Q)
|
94% |
2878
229.4 IPS |
|
|
Face Detection (SP)
|
100% |
4647
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
8462
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
4510
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8609
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14384
111.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10132
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24786
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39617
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
32340
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5721
211.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7074
261.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5020
185.4 IPS |
|
|
Text Classification (SP)
|
100% |
3223
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5834
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5913
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5363
92.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9214
159.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9247
159.8 IPS |
