iPhone18,1
Geekbench AI Score
9074
Single Precision Score
16504
Half Precision Score
16970
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | October 05 2025 12:48 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
4250
790.4 IPS |
|
|
Image Classification (HP)
|
100% |
8073
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7541
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6102
98.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9631
156.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10613
172.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20432
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54345
63.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
59090
69.3 IPS |
|
|
Object Detection (SP)
|
100% |
4399
349.0 IPS |
|
|
Object Detection (HP)
|
100% |
8085
641.3 IPS |
|
|
Object Detection (Q)
|
93% |
8035
641.0 IPS |
|
|
Face Detection (SP)
|
100% |
11807
140.3 IPS |
|
|
Face Detection (HP)
|
100% |
23104
274.5 IPS |
|
|
Face Detection (Q)
|
100% |
17877
212.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17750
136.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
36053
277.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
38736
302.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43604
56.1 IPS |
|
|
Style Transfer (HP)
|
100% |
96320
123.8 IPS |
|
|
Style Transfer (Q)
|
96% |
120022
154.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10421
384.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19646
725.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22461
829.4 IPS |
|
|
Text Classification (SP)
|
100% |
3482
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6394
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6257
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4900
84.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4355
75.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4463
77.1 IPS |
