iPhone18,1
Geekbench AI Score
5131
Single Precision Score
8337
Half Precision Score
6632
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 09 2025 12:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2321
431.7 IPS |
|
|
Image Classification (HP)
|
100% |
3702
688.4 IPS |
|
|
Image Classification (Q)
|
96% |
2445
456.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2991
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3379
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10327
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18415
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16469
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (HP)
|
97% |
4185
333.2 IPS |
|
|
Object Detection (Q)
|
94% |
2907
231.7 IPS |
|
|
Face Detection (SP)
|
100% |
4659
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
8518
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
4515
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8431
65.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14157
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10119
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24454
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38043
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31552
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5678
209.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7107
262.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5023
185.5 IPS |
|
|
Text Classification (SP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6178
8.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6069
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
5228
90.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9441
163.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9476
163.8 IPS |
