iPhone18,1
Geekbench AI Score
4868
Single Precision Score
7803
Half Precision Score
6225
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | September 23 2025 08:13 AM |
| Views | 13 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2288
425.6 IPS |
|
|
Image Classification (HP)
|
100% |
3748
696.9 IPS |
|
|
Image Classification (Q)
|
96% |
2436
454.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2166
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2953
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3285
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9302
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
17302
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14730
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2421
192.0 IPS |
|
|
Object Detection (HP)
|
97% |
3920
312.1 IPS |
|
|
Object Detection (Q)
|
94% |
2599
207.2 IPS |
|
|
Face Detection (SP)
|
100% |
4192
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
7815
92.9 IPS |
|
|
Face Detection (Q)
|
100% |
3947
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8084
62.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13323
103.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9441
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23349
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29590
38.0 IPS |
|
|
Style Transfer (Q)
|
96% |
28897
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5574
205.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6677
246.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4893
180.7 IPS |
|
|
Text Classification (SP)
|
100% |
3468
4.63 KIPS |
|
|
Text Classification (HP)
|
99% |
6629
8.85 KIPS |
|
|
Text Classification (Q)
|
93% |
6418
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4386
75.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8178
141.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8444
145.9 IPS |
