iPhone18,1
Geekbench AI Score
5114
Single Precision Score
8382
Half Precision Score
6661
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 05:52 PM |
| Views | 3 |
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% |
2338
434.7 IPS |
|
|
Image Classification (HP)
|
100% |
3758
698.9 IPS |
|
|
Image Classification (Q)
|
96% |
2495
466.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3023
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3432
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10746
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19337
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16652
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2658
210.9 IPS |
|
|
Object Detection (HP)
|
97% |
4232
336.9 IPS |
|
|
Object Detection (Q)
|
94% |
2915
232.3 IPS |
|
|
Face Detection (SP)
|
100% |
4556
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
8461
100.5 IPS |
|
|
Face Detection (Q)
|
100% |
4435
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8395
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14237
110.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10029
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24742
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38709
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32103
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5590
206.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6933
256.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5031
185.8 IPS |
|
|
Text Classification (SP)
|
100% |
3288
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6079
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6134
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
5006
86.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9377
162.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9394
162.3 IPS |
