iPhone18,1
Geekbench AI Score
5107
Single Precision Score
8359
Half Precision Score
6587
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 11:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2328
433.0 IPS |
|
|
Image Classification (HP)
|
100% |
3774
701.9 IPS |
|
|
Image Classification (Q)
|
96% |
2488
464.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3008
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3450
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10561
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18587
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16088
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2590
205.4 IPS |
|
|
Object Detection (HP)
|
97% |
4158
331.0 IPS |
|
|
Object Detection (Q)
|
94% |
2839
226.3 IPS |
|
|
Face Detection (SP)
|
100% |
4524
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
8377
99.5 IPS |
|
|
Face Detection (Q)
|
100% |
4316
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8342
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14007
108.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9916
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23818
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37683
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30996
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5384
198.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6945
256.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4950
182.8 IPS |
|
|
Text Classification (SP)
|
100% |
3517
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6498
8.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6431
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5242
90.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9522
164.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9289
160.5 IPS |
