iPhone18,1
Geekbench AI Score
9060
Single Precision Score
16343
Half Precision Score
16913
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 01:24 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 | 4.26 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% |
8036
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7397
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5968
96.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9415
152.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10455
169.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20021
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53263
62.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
57392
67.3 IPS |
|
|
Object Detection (SP)
|
100% |
4396
348.7 IPS |
|
|
Object Detection (HP)
|
100% |
8105
642.9 IPS |
|
|
Object Detection (Q)
|
93% |
8044
641.7 IPS |
|
|
Face Detection (SP)
|
100% |
11727
139.3 IPS |
|
|
Face Detection (HP)
|
100% |
22950
272.7 IPS |
|
|
Face Detection (Q)
|
100% |
17942
213.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17804
137.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35348
272.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
38149
297.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43131
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
93527
120.2 IPS |
|
|
Style Transfer (Q)
|
96% |
118171
152.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10333
381.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18052
666.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22125
817.0 IPS |
|
|
Text Classification (SP)
|
100% |
3515
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6369
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6299
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
5105
87.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4772
82.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4759
82.2 IPS |
