iPhone18,1
Geekbench AI Score
5123
Single Precision Score
8287
Half Precision Score
6498
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 02:01 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2317
430.8 IPS |
|
|
Image Classification (HP)
|
100% |
3735
694.7 IPS |
|
|
Image Classification (Q)
|
96% |
2483
463.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3024
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3345
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10468
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18363
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15560
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2593
205.7 IPS |
|
|
Object Detection (HP)
|
97% |
4128
328.7 IPS |
|
|
Object Detection (Q)
|
94% |
2726
217.3 IPS |
|
|
Face Detection (SP)
|
100% |
4498
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
8427
100.1 IPS |
|
|
Face Detection (Q)
|
100% |
4351
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8381
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13692
105.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9956
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24153
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37125
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30275
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5445
201.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6868
253.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4913
181.4 IPS |
|
|
Text Classification (SP)
|
100% |
3575
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6408
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6361
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5270
90.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9470
163.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9306
160.8 IPS |
