iPhone18,1
Geekbench AI Score
4953
Single Precision Score
8138
Half Precision Score
6399
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 02:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2308
429.2 IPS |
|
|
Image Classification (HP)
|
100% |
3656
680.0 IPS |
|
|
Image Classification (Q)
|
96% |
2446
456.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2984
48.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3394
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9736
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18158
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15216
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2484
197.0 IPS |
|
|
Object Detection (HP)
|
97% |
4013
319.5 IPS |
|
|
Object Detection (Q)
|
94% |
2688
214.3 IPS |
|
|
Face Detection (SP)
|
100% |
4263
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
8031
95.4 IPS |
|
|
Face Detection (Q)
|
100% |
4062
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8231
63.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13653
105.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9590
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23630
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36916
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29809
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5361
198.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6758
249.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4808
177.5 IPS |
|
|
Text Classification (SP)
|
100% |
3549
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6405
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6423
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4755
81.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9158
158.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9458
163.4 IPS |
