iPhone18,1
Geekbench AI Score
5110
Single Precision Score
8331
Half Precision Score
6566
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 30 2025 02:18 PM |
| Views | 1 |
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% |
2330
433.4 IPS |
|
|
Image Classification (HP)
|
100% |
3735
694.5 IPS |
|
|
Image Classification (Q)
|
96% |
2474
461.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3053
49.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3420
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10515
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19143
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16469
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2590
205.5 IPS |
|
|
Object Detection (HP)
|
97% |
4134
329.1 IPS |
|
|
Object Detection (Q)
|
94% |
2884
229.9 IPS |
|
|
Face Detection (SP)
|
100% |
4651
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
8469
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
4474
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8358
64.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14234
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10091
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24423
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38130
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31261
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5674
209.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7028
259.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5072
187.3 IPS |
|
|
Text Classification (SP)
|
100% |
3230
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
6081
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5814
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
5179
89.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9089
157.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8905
153.9 IPS |
