iPhone18,1
Geekbench AI Score
4847
Single Precision Score
7996
Half Precision Score
6335
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Risto3 |
| Upload Date | September 26 2025 04:45 AM |
| Views | 10 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2179
405.2 IPS |
|
|
Image Classification (HP)
|
100% |
3626
674.3 IPS |
|
|
Image Classification (Q)
|
96% |
2425
452.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2077
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3019
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3382
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9210
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17806
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14997
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2469
195.8 IPS |
|
|
Object Detection (HP)
|
97% |
3864
307.6 IPS |
|
|
Object Detection (Q)
|
94% |
2627
209.4 IPS |
|
|
Face Detection (SP)
|
100% |
4148
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
7654
90.9 IPS |
|
|
Face Detection (Q)
|
100% |
4065
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8025
61.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13581
105.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9504
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23107
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36687
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29796
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5196
191.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6452
238.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4852
179.2 IPS |
|
|
Text Classification (SP)
|
100% |
3498
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6175
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6223
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4980
85.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9339
161.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9279
160.4 IPS |
