iPhone18,1
Geekbench AI Score
5137
Single Precision Score
36189
Half Precision Score
49049
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | real8star |
| Upload Date | November 22 2025 07:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2317
430.9 IPS |
|
|
Image Classification (HP)
|
100% |
16104
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
22638
4.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19970
323.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25356
411.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10606
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
159607
186.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
297803
349.0 IPS |
|
|
Object Detection (SP)
|
100% |
2658
210.9 IPS |
|
|
Object Detection (HP)
|
100% |
17815
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25336
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4648
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
41078
488.1 IPS |
|
|
Face Detection (Q)
|
100% |
52125
619.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8337
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
104852
807.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
169400
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24374
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
259532
333.6 IPS |
|
|
Style Transfer (Q)
|
96% |
353453
456.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5639
208.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57389
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85955
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3256
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
6044
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5862
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5249
90.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10869
187.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11835
204.5 IPS |
