iPhone18,1
Geekbench AI Score
9075
Single Precision Score
16411
Half Precision Score
17058
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 01:17 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% |
4242
788.8 IPS |
|
|
Image Classification (HP)
|
100% |
8029
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7498
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6044
98.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9609
155.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10484
170.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20174
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53498
62.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
58086
68.1 IPS |
|
|
Object Detection (SP)
|
100% |
4400
349.0 IPS |
|
|
Object Detection (HP)
|
100% |
8080
640.9 IPS |
|
|
Object Detection (Q)
|
93% |
8037
641.1 IPS |
|
|
Face Detection (SP)
|
100% |
11750
139.6 IPS |
|
|
Face Detection (HP)
|
100% |
22944
272.6 IPS |
|
|
Face Detection (Q)
|
100% |
17952
213.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17855
137.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35462
273.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
38235
298.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43607
56.1 IPS |
|
|
Style Transfer (HP)
|
100% |
93602
120.3 IPS |
|
|
Style Transfer (Q)
|
96% |
119137
153.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10391
383.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18490
682.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22402
827.2 IPS |
|
|
Text Classification (SP)
|
100% |
3510
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6403
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6350
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4994
86.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4714
81.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4888
84.5 IPS |
