iPhone18,1
Geekbench AI Score
5168
Single Precision Score
8340
Half Precision Score
6633
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 04:20 PM |
| Views | 2 |
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 | 4.26 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
433.6 IPS |
|
|
Image Classification (HP)
|
100% |
3772
701.4 IPS |
|
|
Image Classification (Q)
|
96% |
2490
465.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2150
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2996
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3432
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10929
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19320
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16666
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2654
210.6 IPS |
|
|
Object Detection (HP)
|
97% |
4158
331.0 IPS |
|
|
Object Detection (Q)
|
94% |
2899
231.1 IPS |
|
|
Face Detection (SP)
|
100% |
4500
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
8546
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
4495
53.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8448
65.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14337
110.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10152
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24705
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38225
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31543
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5753
212.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7065
260.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4975
183.7 IPS |
|
|
Text Classification (SP)
|
100% |
3265
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5935
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5918
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5304
91.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9136
157.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9425
162.9 IPS |
