iPhone18,1
Geekbench AI Score
9088
Single Precision Score
16586
Half Precision Score
17135
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 06:30 AM |
| Views | 3 |
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% |
4268
793.8 IPS |
|
|
Image Classification (HP)
|
100% |
8072
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7421
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6054
98.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9533
154.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10493
170.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20247
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53768
62.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
58621
68.7 IPS |
|
|
Object Detection (SP)
|
100% |
4406
349.5 IPS |
|
|
Object Detection (HP)
|
100% |
8084
641.2 IPS |
|
|
Object Detection (Q)
|
93% |
8089
645.3 IPS |
|
|
Face Detection (SP)
|
100% |
11749
139.6 IPS |
|
|
Face Detection (HP)
|
100% |
23103
274.5 IPS |
|
|
Face Detection (Q)
|
100% |
17959
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17977
138.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35502
273.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
38431
300.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43010
55.3 IPS |
|
|
Style Transfer (HP)
|
100% |
97479
125.3 IPS |
|
|
Style Transfer (Q)
|
96% |
120391
155.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10410
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19259
711.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22465
829.5 IPS |
|
|
Text Classification (SP)
|
100% |
3531
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6394
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6620
8.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4994
86.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4786
82.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4783
82.6 IPS |
