iPhone18,1
Geekbench AI Score
5144
Single Precision Score
8402
Half Precision Score
6613
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | November 14 2025 10:21 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2296
427.0 IPS |
|
|
Image Classification (HP)
|
100% |
3769
700.8 IPS |
|
|
Image Classification (Q)
|
96% |
2392
446.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2978
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3423
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10411
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18898
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16220
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2592
205.6 IPS |
|
|
Object Detection (HP)
|
97% |
4137
329.4 IPS |
|
|
Object Detection (Q)
|
94% |
2829
225.5 IPS |
|
|
Face Detection (SP)
|
100% |
4562
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
8506
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4386
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8436
65.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14066
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9961
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24729
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38728
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31638
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5672
209.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7036
259.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4985
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
3521
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6468
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6533
8.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
5170
89.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9477
163.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9469
163.6 IPS |
