iPhone18,1
Geekbench AI Score
8988
Single Precision Score
16632
Half Precision Score
17310
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 07:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4250
790.4 IPS |
|
|
Image Classification (HP)
|
100% |
8013
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7553
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5945
96.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9363
151.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10427
169.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19984
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
52902
61.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
57293
67.2 IPS |
|
|
Object Detection (SP)
|
100% |
4357
345.6 IPS |
|
|
Object Detection (HP)
|
100% |
8103
642.8 IPS |
|
|
Object Detection (Q)
|
93% |
8034
640.9 IPS |
|
|
Face Detection (SP)
|
100% |
11538
137.1 IPS |
|
|
Face Detection (HP)
|
100% |
23038
273.7 IPS |
|
|
Face Detection (Q)
|
100% |
17874
212.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17725
136.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
34675
267.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
37916
296.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43158
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
93279
119.9 IPS |
|
|
Style Transfer (Q)
|
96% |
117697
151.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10362
382.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18011
665.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22032
813.5 IPS |
|
|
Text Classification (SP)
|
100% |
3516
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6413
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6375
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4865
83.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5854
100.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5950
102.8 IPS |
