iPhone18,1
Geekbench AI Score
9116
Single Precision Score
16961
Half Precision Score
17512
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 01:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4248
790.0 IPS |
|
|
Image Classification (HP)
|
100% |
8053
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7436
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6074
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9566
155.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10552
171.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20278
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53926
62.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
58902
69.0 IPS |
|
|
Object Detection (SP)
|
100% |
4406
349.5 IPS |
|
|
Object Detection (HP)
|
100% |
8105
642.9 IPS |
|
|
Object Detection (Q)
|
93% |
8089
645.3 IPS |
|
|
Face Detection (SP)
|
100% |
11965
142.2 IPS |
|
|
Face Detection (HP)
|
100% |
23126
274.8 IPS |
|
|
Face Detection (Q)
|
100% |
18025
214.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17938
138.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35562
274.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
38927
303.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43497
55.9 IPS |
|
|
Style Transfer (HP)
|
100% |
95869
123.2 IPS |
|
|
Style Transfer (Q)
|
96% |
119572
154.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10412
384.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19293
712.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22453
829.1 IPS |
|
|
Text Classification (SP)
|
100% |
3544
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6424
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6378
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4993
86.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5991
103.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6039
104.4 IPS |
