iPhone18,1
Geekbench AI Score
5155
Single Precision Score
8393
Half Precision Score
6633
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | aleo |
| Upload Date | December 21 2025 11:15 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2332
433.7 IPS |
|
|
Image Classification (HP)
|
100% |
3721
691.9 IPS |
|
|
Image Classification (Q)
|
96% |
2482
463.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3041
49.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3427
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10937
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19641
22.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16773
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2626
208.3 IPS |
|
|
Object Detection (HP)
|
97% |
4137
329.3 IPS |
|
|
Object Detection (Q)
|
94% |
2878
229.4 IPS |
|
|
Face Detection (SP)
|
100% |
4624
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
8508
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4507
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8400
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14346
110.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10147
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24733
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37965
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31575
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5640
208.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7029
259.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5029
185.7 IPS |
|
|
Text Classification (SP)
|
100% |
3252
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6151
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5936
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5276
90.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9418
162.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9321
161.1 IPS |
