iPhone18,1
Geekbench AI Score
9037
Single Precision Score
16388
Half Precision Score
16946
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 06:32 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
4223
785.3 IPS |
|
|
Image Classification (HP)
|
100% |
8014
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7431
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5994
97.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9476
153.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10535
170.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20084
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53076
61.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
57228
67.1 IPS |
|
|
Object Detection (SP)
|
100% |
4369
346.5 IPS |
|
|
Object Detection (HP)
|
100% |
8131
645.0 IPS |
|
|
Object Detection (Q)
|
93% |
8029
640.5 IPS |
|
|
Face Detection (SP)
|
100% |
11551
137.2 IPS |
|
|
Face Detection (HP)
|
100% |
22734
270.1 IPS |
|
|
Face Detection (Q)
|
100% |
17959
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17806
137.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35149
270.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
37765
294.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43088
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
93449
120.1 IPS |
|
|
Style Transfer (Q)
|
96% |
119030
153.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10416
384.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18896
697.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22863
844.2 IPS |
|
|
Text Classification (SP)
|
100% |
3498
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6428
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6283
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
5067
87.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4701
81.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4683
80.9 IPS |
