iPhone18,1
Geekbench AI Score
5133
Single Precision Score
8465
Half Precision Score
6666
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 06:55 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2331
433.5 IPS |
|
|
Image Classification (HP)
|
100% |
3782
703.3 IPS |
|
|
Image Classification (Q)
|
96% |
2502
467.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3047
49.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3449
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10188
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19194
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16256
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2569
203.8 IPS |
|
|
Object Detection (HP)
|
97% |
4240
337.6 IPS |
|
|
Object Detection (Q)
|
94% |
2850
227.1 IPS |
|
|
Face Detection (SP)
|
100% |
4572
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
8560
101.7 IPS |
|
|
Face Detection (Q)
|
100% |
4417
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8505
65.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14409
111.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10178
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24825
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38550
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31797
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5573
205.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6910
255.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4987
184.2 IPS |
|
|
Text Classification (SP)
|
100% |
3541
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6462
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6458
8.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
5119
88.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9493
164.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9425
162.9 IPS |
