iPhone18,1
Geekbench AI Score
5081
Single Precision Score
8305
Half Precision Score
6569
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 11:24 PM |
| Views | 1 |
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% |
2242
417.0 IPS |
|
|
Image Classification (HP)
|
100% |
3717
691.2 IPS |
|
|
Image Classification (Q)
|
96% |
2375
443.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3102
50.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3436
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9981
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18319
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15987
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2544
201.8 IPS |
|
|
Object Detection (HP)
|
97% |
4102
326.6 IPS |
|
|
Object Detection (Q)
|
94% |
2770
220.8 IPS |
|
|
Face Detection (SP)
|
100% |
4473
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
8421
100.1 IPS |
|
|
Face Detection (Q)
|
100% |
4324
51.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8422
64.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14086
108.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9867
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24459
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37604
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30892
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5424
200.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7149
264.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5016
185.2 IPS |
|
|
Text Classification (SP)
|
100% |
3566
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6077
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6531
8.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
5331
91.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9307
160.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9596
165.8 IPS |
