iPhone18,1
Geekbench AI Score
8934
Single Precision Score
16619
Half Precision Score
17220
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | bgh0809 |
| Upload Date | November 19 2025 09:55 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4193
779.7 IPS |
|
|
Image Classification (HP)
|
100% |
7981
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7465
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5925
96.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9382
152.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10435
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19788
23.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
52905
61.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
56652
66.4 IPS |
|
|
Object Detection (SP)
|
100% |
4368
346.5 IPS |
|
|
Object Detection (HP)
|
100% |
8273
656.3 IPS |
|
|
Object Detection (Q)
|
93% |
8096
645.9 IPS |
|
|
Face Detection (SP)
|
100% |
11541
137.1 IPS |
|
|
Face Detection (HP)
|
100% |
22569
268.2 IPS |
|
|
Face Detection (Q)
|
100% |
17763
211.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17730
136.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
34894
268.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
37974
296.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43103
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
93055
119.6 IPS |
|
|
Style Transfer (Q)
|
96% |
116969
150.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10297
380.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18026
665.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22016
813.0 IPS |
|
|
Text Classification (SP)
|
100% |
3459
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
6422
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6346
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4803
82.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5782
99.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5823
100.6 IPS |
