iPhone18,1
Geekbench AI Score
2686
Single Precision Score
20715
Half Precision Score
27855
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 09:06 AM |
| Views | 5 |
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 | 2.21 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1162
216.2 IPS |
|
|
Image Classification (HP)
|
100% |
9259
1.72 KIPS |
|
|
Image Classification (Q)
|
97% |
12615
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
965
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
11423
185.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
14101
228.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4727
5.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
83648
97.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
155852
182.7 IPS |
|
|
Object Detection (SP)
|
100% |
1473
116.8 IPS |
|
|
Object Detection (HP)
|
100% |
12229
970.0 IPS |
|
|
Object Detection (Q)
|
91% |
14210
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
2118
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
21780
258.8 IPS |
|
|
Face Detection (Q)
|
100% |
30168
358.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3899
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
61017
470.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
109828
858.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14561
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
152096
195.5 IPS |
|
|
Style Transfer (Q)
|
96% |
203713
262.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3388
125.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33149
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50966
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2006
2.68 KIPS |
|
|
Text Classification (HP)
|
99% |
3800
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3797
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3064
52.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5284
91.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5466
94.5 IPS |
