iPhone18,1
Geekbench AI Score
5155
Single Precision Score
8447
Half Precision Score
6606
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 10:21 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2339
434.9 IPS |
|
|
Image Classification (HP)
|
100% |
3718
691.4 IPS |
|
|
Image Classification (Q)
|
96% |
2474
461.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3078
49.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3459
56.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10595
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19282
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16341
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2607
206.8 IPS |
|
|
Object Detection (HP)
|
97% |
4158
331.0 IPS |
|
|
Object Detection (Q)
|
94% |
2806
223.7 IPS |
|
|
Face Detection (SP)
|
100% |
4507
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
8406
99.9 IPS |
|
|
Face Detection (Q)
|
100% |
4312
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8228
63.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14138
109.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9974
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24892
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38668
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31569
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5661
209.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7039
259.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5014
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
3585
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6540
8.73 KIPS |
|
|
Text Classification (Q)
|
93% |
6381
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5229
90.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9533
164.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9291
160.6 IPS |
