iPhone18,1
Geekbench AI Score
5154
Single Precision Score
8373
Half Precision Score
6604
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 24 2025 12:13 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% |
2332
433.7 IPS |
|
|
Image Classification (HP)
|
100% |
3798
706.3 IPS |
|
|
Image Classification (Q)
|
96% |
2516
469.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2101
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3011
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3411
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10575
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18984
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16052
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2587
205.2 IPS |
|
|
Object Detection (HP)
|
97% |
4209
335.1 IPS |
|
|
Object Detection (Q)
|
94% |
2852
227.3 IPS |
|
|
Face Detection (SP)
|
100% |
4593
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
8449
100.4 IPS |
|
|
Face Detection (Q)
|
100% |
4373
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8481
65.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14198
109.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9999
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24589
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38302
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31430
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5610
207.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7044
260.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5014
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
3478
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
6117
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6204
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
5286
91.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9365
161.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9400
162.4 IPS |
