iPhone18,2
Geekbench AI Score
5178
Single Precision Score
8409
Half Precision Score
6627
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | stevemops |
| Upload Date | October 17 2025 05:42 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| 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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2336
434.4 IPS |
|
|
Image Classification (HP)
|
100% |
3755
698.4 IPS |
|
|
Image Classification (Q)
|
96% |
2495
465.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2999
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3438
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10530
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19395
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16593
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2667
211.5 IPS |
|
|
Object Detection (HP)
|
97% |
4178
332.6 IPS |
|
|
Object Detection (Q)
|
94% |
2867
228.5 IPS |
|
|
Face Detection (SP)
|
100% |
4662
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
8496
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
4446
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8575
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14447
111.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10198
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25254
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39365
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31888
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5660
209.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7016
259.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5013
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
3270
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5988
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5862
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5244
90.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9552
165.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9437
163.1 IPS |
