iPhone18,1
Geekbench AI Score
5046
Single Precision Score
8406
Half Precision Score
6596
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Risto3 |
| Upload Date | September 20 2025 03:27 AM |
| Views | 8 |
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% |
2301
428.0 IPS |
|
|
Image Classification (HP)
|
100% |
3694
687.0 IPS |
|
|
Image Classification (Q)
|
96% |
2471
461.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2211
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3178
51.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3426
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10173
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19125
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16095
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2529
200.6 IPS |
|
|
Object Detection (HP)
|
97% |
4091
325.7 IPS |
|
|
Object Detection (Q)
|
94% |
2824
225.1 IPS |
|
|
Face Detection (SP)
|
100% |
4370
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
8379
99.6 IPS |
|
|
Face Detection (Q)
|
100% |
4320
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8396
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13765
106.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9795
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23829
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37101
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30520
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5379
198.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7134
263.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5012
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
3637
4.85 KIPS |
|
|
Text Classification (HP)
|
99% |
6682
8.92 KIPS |
|
|
Text Classification (Q)
|
93% |
6624
8.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4786
82.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9408
162.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9458
163.4 IPS |
