iPhone18,1
Geekbench AI Score
5008
Single Precision Score
36354
Half Precision Score
49200
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | kaiiy |
| Upload Date | October 25 2025 10:10 PM |
| Views | 2 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2351
437.2 IPS |
|
|
Image Classification (HP)
|
100% |
16574
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
21991
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19906
322.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25124
407.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9767
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
148481
173.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
276106
323.6 IPS |
|
|
Object Detection (SP)
|
100% |
2590
205.4 IPS |
|
|
Object Detection (HP)
|
100% |
17710
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25654
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4441
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
41043
487.7 IPS |
|
|
Face Detection (Q)
|
100% |
54678
649.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8311
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
105762
814.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
164672
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24077
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
251486
323.3 IPS |
|
|
Style Transfer (Q)
|
96% |
352302
454.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5347
197.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58022
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84636
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3511
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6428
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6414
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4714
81.2 IPS |
|
|
Machine Translation (HP)
|
100% |
11415
196.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12333
213.1 IPS |
