iPhone18,1
Geekbench AI Score
4817
Single Precision Score
35659
Half Precision Score
48026
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | October 05 2025 12:50 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2301
428.0 IPS |
|
|
Image Classification (HP)
|
100% |
16568
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
21681
4.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2074
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19327
313.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23751
385.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8903
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
143312
167.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
264487
310.0 IPS |
|
|
Object Detection (SP)
|
100% |
2282
181.0 IPS |
|
|
Object Detection (HP)
|
100% |
17743
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25509
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4025
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
40877
485.7 IPS |
|
|
Face Detection (Q)
|
100% |
52455
623.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8067
62.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
103530
797.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
168371
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
22985
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
246691
317.1 IPS |
|
|
Style Transfer (Q)
|
96% |
342578
442.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5234
193.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55708
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84278
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3508
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6499
8.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6511
8.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
5073
87.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10804
186.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11317
195.6 IPS |
