iPhone18,1
Geekbench AI Score
5064
Single Precision Score
8401
Half Precision Score
6570
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | December 07 2025 01:21 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2291
426.0 IPS |
|
|
Image Classification (HP)
|
100% |
3768
700.8 IPS |
|
|
Image Classification (Q)
|
96% |
2457
458.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3048
49.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3443
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9857
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18664
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15828
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2523
200.1 IPS |
|
|
Object Detection (HP)
|
97% |
4138
329.4 IPS |
|
|
Object Detection (Q)
|
94% |
2802
223.4 IPS |
|
|
Face Detection (SP)
|
100% |
4439
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
8442
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
4319
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8456
65.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14049
108.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9871
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24544
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38405
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31314
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5461
201.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6974
257.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4987
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
3509
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6612
8.83 KIPS |
|
|
Text Classification (Q)
|
93% |
6420
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
5235
90.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9404
162.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9348
161.5 IPS |
