iPhone18,1
Geekbench AI Score
5181
Single Precision Score
8468
Half Precision Score
6625
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 04:42 PM |
| 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% |
2334
434.0 IPS |
|
|
Image Classification (HP)
|
100% |
3741
695.7 IPS |
|
|
Image Classification (Q)
|
96% |
2488
464.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2202
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3162
51.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3435
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10268
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18949
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15877
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2563
203.3 IPS |
|
|
Object Detection (HP)
|
97% |
4200
334.4 IPS |
|
|
Object Detection (Q)
|
94% |
2814
224.3 IPS |
|
|
Face Detection (SP)
|
100% |
4546
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
8402
99.8 IPS |
|
|
Face Detection (Q)
|
100% |
4349
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8502
65.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14122
109.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9955
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24811
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38385
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31518
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5653
208.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7072
261.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5035
185.9 IPS |
|
|
Text Classification (SP)
|
100% |
3628
4.84 KIPS |
|
|
Text Classification (HP)
|
99% |
6643
8.87 KIPS |
|
|
Text Classification (Q)
|
93% |
6610
8.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5245
90.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9420
162.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9399
162.4 IPS |
