iPhone18,1
Geekbench AI Score
9093
Single Precision Score
16544
Half Precision Score
17022
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | MagicalWig34653 |
| Upload Date | September 20 2025 05:25 AM |
| Views | 5 |
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% |
4188
778.9 IPS |
|
|
Image Classification (HP)
|
100% |
8028
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7409
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6048
98.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9527
154.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10535
170.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20254
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53940
62.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
59102
69.3 IPS |
|
|
Object Detection (SP)
|
100% |
4396
348.7 IPS |
|
|
Object Detection (HP)
|
100% |
8056
639.0 IPS |
|
|
Object Detection (Q)
|
93% |
8029
640.5 IPS |
|
|
Face Detection (SP)
|
100% |
11632
138.2 IPS |
|
|
Face Detection (HP)
|
100% |
23114
274.6 IPS |
|
|
Face Detection (Q)
|
100% |
17672
210.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18049
139.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
35512
273.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
38315
299.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43495
55.9 IPS |
|
|
Style Transfer (HP)
|
100% |
95813
123.2 IPS |
|
|
Style Transfer (Q)
|
96% |
119988
154.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10409
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19173
708.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22383
826.5 IPS |
|
|
Text Classification (SP)
|
100% |
3533
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6374
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6322
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5106
88.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4810
82.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4797
82.9 IPS |
