iPhone18,1
Geekbench AI Score
5124
Single Precision Score
8354
Half Precision Score
6591
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 09:15 AM |
| 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% |
2340
435.1 IPS |
|
|
Image Classification (HP)
|
100% |
3771
701.2 IPS |
|
|
Image Classification (Q)
|
96% |
2498
466.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2899
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3390
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10242
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18719
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15959
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2572
204.0 IPS |
|
|
Object Detection (HP)
|
97% |
4198
334.2 IPS |
|
|
Object Detection (Q)
|
94% |
2825
225.2 IPS |
|
|
Face Detection (SP)
|
100% |
4474
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
8400
99.8 IPS |
|
|
Face Detection (Q)
|
100% |
4331
51.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8462
65.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14099
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9949
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24573
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38481
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31316
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5563
205.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7031
259.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4991
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
3591
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6403
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6410
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5132
88.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9403
162.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9388
162.2 IPS |
