iPhone18,1
Geekbench AI Score
5100
Single Precision Score
8317
Half Precision Score
6527
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 06:29 PM |
| Views | 2 |
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% |
2330
433.4 IPS |
|
|
Image Classification (HP)
|
100% |
3756
698.4 IPS |
|
|
Image Classification (Q)
|
96% |
2481
463.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3017
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3413
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10139
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18653
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15831
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2520
199.9 IPS |
|
|
Object Detection (HP)
|
97% |
4135
329.2 IPS |
|
|
Object Detection (Q)
|
94% |
2771
220.9 IPS |
|
|
Face Detection (SP)
|
100% |
4387
52.1 IPS |
|
|
Face Detection (HP)
|
100% |
8179
97.2 IPS |
|
|
Face Detection (Q)
|
100% |
4227
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8364
64.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14023
108.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9762
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24632
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37490
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30808
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5642
208.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6987
258.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4968
183.4 IPS |
|
|
Text Classification (SP)
|
100% |
3511
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6408
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6350
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5239
90.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9417
162.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9434
163.0 IPS |
