iPhone18,1
Geekbench AI Score
9142
Single Precision Score
16653
Half Precision Score
17107
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 10:23 AM |
| 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% |
4301
799.8 IPS |
|
|
Image Classification (HP)
|
100% |
8170
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
7425
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6084
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9583
155.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10565
171.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20380
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54033
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
58746
68.9 IPS |
|
|
Object Detection (SP)
|
100% |
4407
349.5 IPS |
|
|
Object Detection (HP)
|
100% |
8074
640.4 IPS |
|
|
Object Detection (Q)
|
93% |
8034
641.0 IPS |
|
|
Face Detection (SP)
|
100% |
11760
139.7 IPS |
|
|
Face Detection (HP)
|
100% |
23124
274.8 IPS |
|
|
Face Detection (Q)
|
100% |
17963
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17999
138.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35542
273.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
38755
302.6 IPS |
|
|
Style Transfer (SP)
|
100% |
43617
56.1 IPS |
|
|
Style Transfer (HP)
|
100% |
95613
122.9 IPS |
|
|
Style Transfer (Q)
|
96% |
119859
154.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10428
385.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19795
730.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22461
829.4 IPS |
|
|
Text Classification (SP)
|
100% |
3545
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6460
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6507
8.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
5086
87.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4781
82.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4756
82.2 IPS |
