iPhone18,1
Geekbench AI Score
9157
Single Precision Score
16525
Half Precision Score
17175
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | i0ntempest |
| Upload Date | September 21 2025 02:12 PM |
| Views | 1 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4284
796.7 IPS |
|
|
Image Classification (HP)
|
100% |
8025
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7556
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6092
98.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9583
155.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10558
171.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20374
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
53978
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59320
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
4403
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8101
642.6 IPS |
|
|
Object Detection (Q)
|
93% |
8093
645.6 IPS |
|
|
Face Detection (SP)
|
100% |
11977
142.3 IPS |
|
|
Face Detection (HP)
|
100% |
23054
273.9 IPS |
|
|
Face Detection (Q)
|
100% |
17969
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18032
138.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35511
273.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
39092
305.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43542
56.0 IPS |
|
|
Style Transfer (HP)
|
100% |
96239
123.7 IPS |
|
|
Style Transfer (Q)
|
96% |
120027
154.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10416
384.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19117
705.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22451
829.0 IPS |
|
|
Text Classification (SP)
|
100% |
3518
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6381
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6546
8.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
5139
88.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4701
81.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4707
81.3 IPS |
