iPhone18,1
Geekbench AI Score
8942
Single Precision Score
16299
Half Precision Score
16723
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | bgh0809 |
| Upload Date | October 12 2025 05:50 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.15 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4202
781.5 IPS |
|
|
Image Classification (HP)
|
100% |
8056
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7481
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5895
95.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9378
152.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10239
166.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19835
23.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
52497
61.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
56409
66.1 IPS |
|
|
Object Detection (SP)
|
100% |
4331
343.5 IPS |
|
|
Object Detection (HP)
|
100% |
8080
640.9 IPS |
|
|
Object Detection (Q)
|
93% |
7991
637.5 IPS |
|
|
Face Detection (SP)
|
100% |
11562
137.4 IPS |
|
|
Face Detection (HP)
|
100% |
22320
265.2 IPS |
|
|
Face Detection (Q)
|
100% |
17748
210.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17663
136.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
34993
269.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
37724
294.5 IPS |
|
|
Style Transfer (SP)
|
100% |
42952
55.2 IPS |
|
|
Style Transfer (HP)
|
100% |
93025
119.6 IPS |
|
|
Style Transfer (Q)
|
96% |
116828
150.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10315
380.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19096
705.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21900
808.7 IPS |
|
|
Text Classification (SP)
|
100% |
3517
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6297
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6262
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4830
83.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4728
81.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4621
79.9 IPS |
