iPhone18,1
Geekbench AI Score
5011
Single Precision Score
8032
Half Precision Score
6384
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 26 2025 02:50 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2300
427.7 IPS |
|
|
Image Classification (HP)
|
100% |
3674
683.2 IPS |
|
|
Image Classification (Q)
|
96% |
2458
459.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2976
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3323
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9844
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17799
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15161
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2482
196.9 IPS |
|
|
Object Detection (HP)
|
97% |
3917
311.8 IPS |
|
|
Object Detection (Q)
|
94% |
2647
211.0 IPS |
|
|
Face Detection (SP)
|
100% |
4273
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
7818
92.9 IPS |
|
|
Face Detection (Q)
|
100% |
4071
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8205
63.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13693
105.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9565
74.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23650
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36756
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29939
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5397
199.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6767
249.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4903
181.0 IPS |
|
|
Text Classification (SP)
|
100% |
3506
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6408
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6393
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5396
92.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8600
148.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9389
162.3 IPS |
