iPhone18,1
Geekbench AI Score
5137
Single Precision Score
8394
Half Precision Score
6545
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 07:27 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% |
2300
427.7 IPS |
|
|
Image Classification (HP)
|
100% |
3677
683.9 IPS |
|
|
Image Classification (Q)
|
96% |
2480
463.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3017
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3425
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10609
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19042
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16165
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2563
203.3 IPS |
|
|
Object Detection (HP)
|
97% |
4166
331.7 IPS |
|
|
Object Detection (Q)
|
94% |
2835
226.0 IPS |
|
|
Face Detection (SP)
|
100% |
4523
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
8370
99.4 IPS |
|
|
Face Detection (Q)
|
100% |
4339
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8415
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14116
109.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9867
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24761
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38277
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31429
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5597
206.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7091
261.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5036
186.0 IPS |
|
|
Text Classification (SP)
|
100% |
3550
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6535
8.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5818
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
5216
89.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9427
162.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9407
162.6 IPS |
