iPhone18,1
Geekbench AI Score
5158
Single Precision Score
8333
Half Precision Score
6661
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 10:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2328
432.9 IPS |
|
|
Image Classification (HP)
|
100% |
3707
689.4 IPS |
|
|
Image Classification (Q)
|
96% |
2479
462.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2178
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3028
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3427
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10871
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18948
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16778
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2592
205.6 IPS |
|
|
Object Detection (HP)
|
97% |
4155
330.8 IPS |
|
|
Object Detection (Q)
|
94% |
2889
230.3 IPS |
|
|
Face Detection (SP)
|
100% |
4602
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
8465
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
4501
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8370
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14189
109.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10135
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24587
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38457
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31375
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5705
210.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7022
259.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5012
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
3295
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6072
8.10 KIPS |
|
|
Text Classification (Q)
|
93% |
6056
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5246
90.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9276
160.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9616
166.2 IPS |
